An open specification for finding and verifying tools, skills, and agents across the web.Agents are …

Google is enhancing Sign in with Google by introducing new OIDC standard claims—specifically auth_time and amr (Authentication Methods Reference) to provide developers with deeper session metadata. These updates allow verified apps to verify the „freshness” of a user’s login and the specific authentication methods used (such as MFA or hardware keys), enabling more dynamic, risk-based access controls. By leveraging these federated identity signals, platforms can better prevent account takeover and fraud while implementing granular security policies like step-up authentication for sensitive actions.

DiffusionGemma is an experimental text-generation model built on the Gemma 4 architecture that uses diffusion-based parallel generation instead of token-by-token autoregression, enabling much faster inference, bidirectional context awareness, and real-time self-correction while remaining deployable on consumer GPUs. Its architecture generates and refines 256-token blocks in parallel through iterative denoising, allowing it to handle complex constraint-based tasks such as Sudoku more effectively than traditional language models and demonstrating strong gains from fine-tuning. The model integrates with vLLM and other popular inference frameworks, giving developers access to a new non-autoregressive approach that combines high performance, efficient long-context scaling, and straightforward customization and deployment.

Google has announced the Google Colab Command-Line Interface (CLI), a new tool that allows developers and AI agents to connect local terminals to remote Colab runtimes for frictionless execution. The lightweight CLI enables users to easily request high-powered GPUs, run local Python scripts remotely, and seamlessly retrieve artifact logs or models like fine-tuned Gemma 3 adapters. By integrating directly into standard terminal environments, the tool is highly programmable and ready to be used by AI agents such as Antigravity or Claude Code to manage complex machine learning pipelines.

Google DeepMind’s Gemma 4 12B model brings agentic, multimodal AI capabilities to everyday laptops with 16GB of RAM, enabling local data processing and visual insight generation. Users can leverage this model on macOS through the Google AI Edge Gallery for dynamic Python code execution and visualization, as well as via Google AI Edge Eloquent for completely offline voice dictation and text editing. Additionally, developer workflows are enhanced by the LiteRT-LM CLI’s new serve command, which creates an industry-compatible local endpoint to power fully-local AI tools and agents.

The newly released Gemma 4 12B is a dense, multimodal model designed for high-performance local AI execution on consumer devices. By introducing a novel, encoder-free architecture, it bypasses traditional visual and audio encoders to feed multimodal data directly into the LLM backbone.

Google is unifying its AI terminal tools by transitioning the community-focused Gemini CLI into Antigravity CLI, a new agent-first platform built for complex, multi-agent workflows. This new Go-based tool offers faster execution, asynchronous processing, and a unified architecture that syncs with the Antigravity 2.0 desktop application. While enterprise customers will maintain existing access, individual and free users must transition to the new platform before Gemini CLI stops serving requests on June 18, 2026.

Google announced the transition from assistive AI to independent agents, highlighting the launch of the Gemini 3.5 series and major updates to its Antigravity agent-first development platform. For mobile developers, the post introduces new Android CLI tools, the Android Bench evaluation leaderboard, and an automated Migration agent designed to rapidly convert various frameworks into native Kotlin code. Web development is also being transformed through Chrome DevTools for agents, the HTML-in-Canvas API, and the proposal of WebMCP, an open web standard that enables browser-based AI agents to execute complex tasks.

Google has announced the new Google Pay & Wallet Developer MCP server, an open-standard tool designed to securely connect AI development assistants and IDEs with real-time API and account context. The server allows developers to remain within their development environment to search official documentation, validate Wallet pass definitions, check integration status, and manage merchant accounts. Ultimately, this integration aims to reduce friction and accelerate development workflows by minimizing context switching and providing up-to-date, grounded AI support.

The Google Tunix Hackathon on Kaggle challenged developers to transform small, non-reasoning base models into general reasoning engines using Kaggle TPUs and a limited compute budget. The winning teams achieved this by implementing multi-stage post-training pipelines that combined Supervised Fine-Tuning (SFT) with advanced alignment techniques like GRPO and SimPO. Ultimately, the competition democratized AI development by proving that highly capable, structured reasoning models can be successfully trained by the community using accessible, open-source resources.

Google Pay is evolving for „agentic commerce” by introducing the Universal Commerce Protocol and a new MCP server that allows AI agents to manage integrations and analyze trends. New Android updates introduce dynamic callbacks for seamless express checkouts and extend payment support into social media apps via WebViews. Additionally, the platform is launching cross-device biometric authentication and new transaction signals to help merchants reduce friction and optimize processing costs.

We are excited to bring Express checkout with Google Pay for Android native apps enabling developers…

Google AI Edge’s LiteRT-LM provides a production-proven, highly optimized infrastructure for running Gemma 4 across cross-platform mobile and edge environments. It actively unlocks the model’s native multimodal and agentic features on-device by utilizing memory-efficient dynamic loading, Multi-Token Prediction for up to a 2.2x speedup, and advanced orchestration tools like Thinking Mode and Constrained Decoding. Furthermore, the engine is rapidly expanding its integration surfaces beyond Android, introducing new native Swift APIs for Apple ecosystems and WebGPU-accelerated JavaScript APIs for high-performance, serverless browser inference.

The Google Cloud and NVIDIA developer community is celebrating its first anniversary with 100,000 members and a renewed focus on providing builders with advanced AI infrastructure and resources. To accelerate development, the community offers curated learning pathways for mastering LLM optimization, GPU-accelerated data analytics, and monthly expert-led webinars. Moving into its second year, the initiative will expand to include hands-on labs, engineering events, and specialized content focused on the growth of agentic AI.

The Google AI Edge Gallery app has expanded its on-device AI capabilities by introducing experimental support for the open-source Model Context Protocol (MCP) on Android, allowing Gemma 4 to coordinate complex tasks across external data sources like Google Workspace and Google Maps. To enable more proactive and persistent user interactions, the update adds a „Schedule Notification” skill for automating routines and a persistent chat history feature that restores long session contexts nearly instantly. Driven by an open-source toolkit, the platform encourages community developers to build and share custom utility-focused workflows, prompt configurations, and tool integrations via its GitHub repository.

ADK for Kotlin brings agentic workflows to your backend projects, while ADK for Android provides spe…

Google is expanding its smart home ecosystem by launching a full-stack Gemini AI offering that integrates advanced camera intelligence, natural language queries, and daily activity summaries. This initiative provides service providers and hardware manufacturers with turnkey reference designs and APIs to build proactive, branded services without extensive research and development. Ultimately, the program aims to move beyond basic device control toward an AI-native home that can understand context and care for users’ needs in real time.

The Google Tensor ML SDK is graduating to its Beta phase, allowing developers to build and deploy high-performance machine learning models directly onto the TPU of Google Pixel 10 devices. By integrating with LiteRT, Google’s edge deployment framework, the SDK provides a unified workflow for developers to convert, compile, and run PyTorch or TFLite models with robust fallback options. Additionally, a new model garden offers over 100 classic and generative AI models, including Gemma 3, enabling low-latency, private features like speech recognition, computer vision, and text generation.

Integration of Arm Scalable Matrix Extension 2 (SME2) and the Google AI Edge software stack enables high-performance, on-device generative AI by turning the CPU into a powerful matrix-compute accelerator. Using Stability AI’s „stable-audio-open-small” model as a case study, it outlines a streamlined „Convert, Optimize, and Deploy” pipeline that utilizes LiteRT, XNNPACK, and KleidiAI to automate hardware acceleration. The resulting implementation achieves over a 2x speedup in audio generation and a 4x reduction in memory usage while maintaining high audio quality on Arm-powered mobile devices and laptops.

Genkit is an open-source framework designed to help developers build production-ready, agentic AI applications using TypeScript, Go, Dart, and Python. The framework utilizes a powerful middleware system that intercepts generation calls to inject custom behaviors like retries, model fallbacks, and human-in-the-loop tool approvals. By attaching hooks at the generate, model, and tool layers, developers can ensure high reliability and deterministic control over model outputs. Furthermore, Genkit allows for the creation and stacking of custom middleware, all of which can be inspected and debugged through a dedicated Developer UI.

How to transition from stateless chatbots to production-grade agents capable of managing long-running enterprise workflows, such as HR onboarding, that span days or weeks. It introduces the Agent Development Kit (ADK) and its architectural shifts, specifically using durable state machines and persistent session storage to ensure an agent never loses context during „idle time” or server restarts. By leveraging event-driven webhooks and multi-agent delegation, the tutorial demonstrates how to build resilient systems that „sleep” during pauses and wake up to resume complex tasks with high reasoning accuracy.

Researchers at UCSD have successfully implemented DFlash, a block-diffusion speculative decoding method, on Google TPUs to bypass the sequential bottlenecks of traditional autoregressive drafting. By „painting” entire blocks of candidate tokens in a single forward pass rather than predicting them one-by-one, the system achieved average speedups of 3.13x, with peak performance nearly doubling that of existing methods like EAGLE-3. This open-source integration into the vLLM ecosystem optimizes TPU hardware by leveraging „free” parallel verification and high-quality draft predictions for complex reasoning tasks.

Google has announced the general availability of Gemini Embedding 2, a unified model that maps text, images, video, audio, and documents into a single semantic space. This model allows developers to process interleaved multimodal inputs in a single request, significantly improving performance for tasks like agentic RAG, visual search, and content moderation. By supporting over 100 languages and offering features like task-specific prefixes and Matryoshka dimensionality reduction, the model provides a highly efficient and accurate foundation for building complex AI agents.

Google Cloud has introduced a high-performance integration that connects Rapid Storage directly to PyTorch via the fsspec interface to eliminate AI training bottlenecks. By utilizing Google’s Colossus architecture and bidirectional gRPC streaming, the solution offers up to 15 TiB/s aggregate throughput and significant reductions in latency. These improvements allow developers to speed up total training time by 23% with zero code changes required beyond updating the storage bucket type.

LiteRT is a production-ready framework designed to help mobile developers unlock the power of Neural Processing Units (NPUs), overcoming the performance and battery limitations of traditional CPU or GPU processing. By providing a unified API that abstracts away hardware complexities, it allows industry leaders like Google Meet and Epic Games to deploy sophisticated AI models for real-time video, animation, and speech recognition with significantly higher efficiency. The platform further supports developers through benchmarking tools and cross-platform compatibility, enabling seamless AI deployment across mobile devices, AI PCs, and industrial IoT hardware.

Google Cloud has introduced the Agents CLI, a specialized tool designed to bridge the gap between local development and production-grade AI agent deployment. The CLI provides coding assistants with machine-readable access to the full Google Cloud stack, reducing context overload and token waste during the scaffolding process. By streamlining evaluation, infrastructure provisioning, and deployment into a single programmatic backbone, the tool enables developers to move from initial concept to a live service in hours rather than weeks.

The blog post outlines the transition of a brittle sales research prototype into a robust production agent using Google’s Agent Development Kit (ADK). By replacing monolithic scripts with orchestrated sub-agents and structured Pydantic outputs, the developers eliminated silent failures and fragile parsing. Additionally, the post highlights the necessity of dynamic RAG pipelines and OpenTelemetry observability to ensure AI agents are scalable, cost-effective, and transparent in real-world applications.

The Google Cloud AI Agent Bake-Off highlights a shift from simple prompt engineering to rigorous agentic engineering, emphasizing that production-ready AI requires a modular, multi-agent architecture. The post outlines five key developer tips, including decomposing complex tasks into specialized sub-agents and using deterministic code for execution to prevent probabilistic errors. Furthermore, it advises developers to prioritize multimodality and open-source protocols like MCP to ensure agents are scalable, integrated, and future-proof against rapidly evolving model capabilities.

Google has introduced enhancements to the Google Pay API to provide developers with greater flexibility and control over merchant-initiated transactions (MIT). The update includes new objects within the PaymentDataRequest to specifically handle recurring subscriptions, deferred payments like hotel bookings, and automatic account reloads. By allowing merchants to clearly define future payment terms, these changes improve transparency for users and help reduce transaction declines through better token management. Developers can now implement these features to create more seamless and secure long-term payment experiences.

A2UI v0.9 introduces a framework-agnostic standard designed to help AI agents generate real-time, tailored UI widgets using a company’s existing design system. This update simplifies the developer experience with a new Agent SDK for Python, a shared web-core library, and official support for renderers like React, Flutter, and Angular. By decoupling UI intent from specific platforms, the release enables seamless, low-latency streaming of generative interfaces across web and mobile applications. Integrating with broader ecosystems like AG2 and Vercel, A2UI v0.9 aims to move generative UI from experimental demos to production-ready digital products.

MaxText has introduced new support for Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) on single-host TPU configurations, leveraging JAX and the Tunix library for high-performance model refinement. These features enable developers to easily adapt pre-trained models for specialized tasks and complex reasoning using efficient algorithms like GRPO and GSPO. This update streamlines the post-training workflow, offering a scalable path from single-host setups to larger multi-host configurations.

Gemini CLI has introduced subagents, specialized expert agents that handle complex or high-volume tasks in isolated context windows to keep the primary session fast and focused. These agents can be customized via Markdown files, run in parallel to boost productivity, and are easily invoked using the @agent syntax for targeted delegation. This architecture prevents „context rot” by consolidating intricate multi-step executions into concise summaries for the main orchestrator.

Google I/O returns May 19–20 to showcase major updates in AI, Android, Chrome, and Cloud, beginning with a keynote on the „agentic era” of development. The event will focus on new tools designed to automate complex workflows and simplify the creation of high-quality, AI-ready applications. Attendees can register to access live sessions, technical demos, and professional development resources both live and on-demand.

TorchTPU is a new engineering stack designed to provide a native, high-performance experience for running PyTorch workloads on Google’s TPU infrastructure with minimal code changes. It features an „Eager First” approach with multiple execution modes and utilizes the XLA compiler to optimize distributed training across massive clusters. Moving into 2026, the project aims to further reduce compilation overhead and expand support for dynamic shapes and custom kernels to ensure seamless scalability for the next generation of AI.

The launch of Agent Development Kit (ADK) for Go 1.0 marks a significant shift from experimental AI scripts to production-ready services by prioritizing observability, security, and extensibility. Key updates include native OpenTelemetry integration for deep tracing, a new plugin system for self-healing logic, and „Human-in-the-Loop” confirmations to ensure safety during sensitive operations. Additionally, the release introduces YAML-based configurations for rapid iteration and refined Agent2Agent (A2A) protocols to support seamless communication across different programming languages. This framework empowers developers to build complex, reliable multi-agent systems using the high-performance engineering standards of Golang.

Google has updated its account settings to allow U.S. users to change their @gmail.com usernames while keeping all existing account data and inboxes intact. For developers, this means that while old email addresses will remain active as aliases, apps that rely solely on email addresses for identification may face issues with account duplication or lost access. To ensure a seamless user experience, Google recommends migrating to the „subject ID” as the primary user identifier and allowing users to manually update their contact information within app settings.

Google DeepMind has launched Gemma 4, a family of state-of-the-art open models designed to enable multi-step planning and autonomous agentic workflows directly on-device. The release includes the Google AI Edge Gallery for experimenting with „Agent Skills” and the LiteRT-LM library, which offers a significant speed boost and structured output for developers. Available under an Apache 2.0 license, Gemma 4 supports over 140 languages and is compatible with a wide range of hardware, including mobile devices, desktops, and IoT platforms like Raspberry Pi.

The Agent Development Kit (ADK) SkillToolset introduces a „progressive disclosure” architecture that allows AI agents to load domain expertise on demand, reducing token usage by up to 90% compared to traditional monolithic prompts. Through four distinct patterns—ranging from simple inline checklists to „skill factories” where agents write their own code—the system enables agents to dynamically expand their capabilities at runtime using the universal agentskills.io specification. This modular approach ensures that complex instructions and external resources are only accessed when relevant, creating a scalable and self-extending framework for modern AI development.

The newly introduced continuous checkpointing feature in Orbax and MaxText is designed to optimize the balance between reliability and performance during model training, addressing issues with conventional fixed-frequency checkpointing. Unlike fixed intervals—which can either compromise reliability or bottleneck performance—continuous checkpointing maximizes I/O bandwidth and minimizes failure risk by asynchronously initiating a new save operation only after the previous one successfully completes. Benchmarks demonstrate that this approach significantly reduces checkpoint intervals and results in substantial resource conservation, especially in large-scale training jobs where mean-time-between-failure (MTBF) is short.

Google has released version 1.0.0 of the Agent Development Kit (ADK) for Java, introducing powerful new features like Google Maps grounding, built-in URL fetching, and a standardized Agent2Agent protocol for cross-framework collaboration. The update enhances agent control through a new „App” and „Plugin” architecture, which allows for global logging, automated context window management via event compaction, and „Human-in-the-Loop” workflows for action confirmations. Additionally, the release provides robust session and memory services using Google Cloud integrations like Firestore and Vertex AI to manage long-term state and large data artifacts.

To bridge the gap between static model knowledge and rapidly evolving software practices, Google DeepMind developed a „Gemini API developer skill” that provides agents with live documentation and SDK guidance. Evaluation results show a massive performance boost, with the gemini-3.1-pro-preview model jumping from a 28.2% to a 96.6% success rate when equipped with the skill. This lightweight approach demonstrates how giving models strong reasoning capabilities and access to a „source of truth” can effectively eliminate outdated coding patterns.

The provided workflow streamlines motion-controlled game development by using Gemini Canvas to rapidly prototype mechanics like the MediaPipe Pose Landmarker through high-level prompting. Developers can refine these prototypes in Google AI Studio by optimizing for low-latency „lite” models and stable tracking points, such as shoulder landmarks, to ensure responsive gameplay. The process concludes by using Gemini Code Assist to refactor experimental code into a modular, production-ready application capable of supporting various multimodal inputs.

This blog post introduces a workflow for extracting high-quality data from complex, unstructured documents by combining LlamaParse with Gemini 3.1 models. It demonstrates an event-driven architecture that uses Gemini 3.1 Pro for agentic parsing of dense financial tables and Gemini 3.1 Flash for cost-effective summarization. By following the provided tutorial, developers can build a personal finance assistant capable of transforming messy brokerage statements into structured, human-readable insights.

This blog post introduces a suite of six protocols, such as MCP and A2A, designed to eliminate custom integration code by standardizing how AI agents access data and communicate. Using a „kitchen manager” agent as a practical example, it demonstrates how these tools handle complex tasks like real-time inventory checks, wholesale commerce via UCP, and secure payment authorization through AP2. By leveraging the Agent Development Kit (ADK), developers can also implement A2UI and AG-UI to deliver interactive dashboards and seamless streaming interfaces to users.

When you’re prototyping locally with AI agents like Gemini CLI, Claude Code, or your own agent, thei…

Google has introduced Finish Changes and Outlines for Gemini Code Assist in IntelliJ and VS Code to reduce developer friction and eliminate the need for long, manual prompting. Finish Changes acts as an AI pair programmer that completes code, implements pseudocode, and applies refactoring patterns by observing your current edits and context. Meanwhile, Outlines improves code comprehension by generating interactive, high-level English summaries interleaved directly within the source code to help engineers navigate and understand complex files.

Gemini CLI now features Plan Mode, a read-only environment that allows the AI to analyze complex codebases and map out architectural changes without the risk of accidental execution. By leveraging the new ask_user tool and expanded Model Context Protocol (MCP) support, developers can collaboratively refine strategies and pull in external data before committing to implementation.

The Gemini Code Assist team has introduced a suite of updates focused on streamlining the core coding workflow through high-velocity tools like Agent Mode with Auto Approve and Inline Diff Views. These enhancements, along with new features for precise context management and custom commands, aim to transform the AI from a general assistant into a highly tailored, seamless collaborator that adapts to your specific development style.

Wednesday Build Hour is a weekly, interactive „technical gym session” led by Google Cloud experts to help developers and architects sharpen their cloud skills. Moving beyond passive slide decks, the program focuses on hands-on building, covering advanced topics like AI agents, Vertex AI, and developer productivity tools. Each hour-long session is designed to provide tangible results that participants can immediately deploy into their own workflows. It serves as a consistent, dedicated space for builders to stay ahead of the curve and connect with a community of cloud engineers.

Google has officially launched LiteRT, the successor to TFLite, which offers significantly faster GPU and NPU acceleration alongside seamless support for PyTorch and JAX. The update also introduces lower-precision data type support for increased efficiency and a commitment to more frequent security and dependency updates across the TensorFlow ecosystem. This transition solidifies LiteRT as Google’s primary high-performance framework for deploying GenAI and advanced on-device inference.

While keynotes are available online, Google Cloud Next ’26 in Las Vegas offers an irreplaceable in-person experience centered on networking, hands-on problem solving, and the transition to agentic AI. The event features specialized technical tracks covering everything from Gemini multimodal breakthroughs to zero-trust security on Cloud Run, providing developers with the tools to balance individual speed with organizational stability. Beyond formal sessions, the „in-person advantage” lies in over 20 developer meetups and collaborative whiteboard sessions designed to foster serendipitous breakthroughs. Ultimately, the conference serves as a high-energy hub for engineers to move beyond the hype and master the modern building blocks of software architecture together.

Google I/O 2026 is returning May 19-20 at Shoreline Amphitheatre in Mountain View, CA. But before the keynotes begin, you can get into the spirit of the event with our annual tradition: the save the date puzzle. This year’s experience highlights how AI can empower and accelerate

Agent Development Kit (ADK) now supports a robust ecosystem of third-party tools and integrations. Connect your agents to GitHub, Notion, Hugging Face, and more to build capable, real-world applications.

Google has introduced FunctionGemma, a specialized 270M parameter model designed to bring efficient, action-oriented AI experiences directly to mobile devices through on-device function calling. By leveraging Google AI Edge and LiteRT-LM, the model enables complex tasks—such as managing calendars, controlling device hardware, or executing specific game logic in the „Tiny Garden” demo—to be performed entirely offline with high speed and low latency. Available for testing in the Google AI Edge Gallery app on both Android and iOS, FunctionGemma allows developers to move beyond simple text generation toward building responsive, „agentic” applications that interact seamlessly with the physical and digital world without relying on cloud processing.

The Android XR team is using Gemini’s Canvas feature to make creating immersive extended reality (XR) experiences more accessible. This allows developers to rapidly prototype interactive 3D environments and models on a Samsung Galaxy XR headset using simple creative prompts.

Google I/O returns May 19-20. Watch the livestreams for updates on Android, AI, Chrome, and Cloud. Registration is open on the Google I/O website.

Conductor for the Gemini CLI has introduced a new Automated Review feature designed to verify the quality and accuracy of AI-generated code. This update addresses the challenge of validating agentic development by automatically checking implementations against original plans, enforcing style guides, and identifying security risks or bugs. by incorporating test-suite validation and providing actionable reports, Conductor helps developers ensure that their AI agents deliver safe, predictable, and architecturally sound code before it is finalized.

To simplify the user experience and prevent startup failures, the Gemini CLI has introduced structured extension settings that eliminate the need for manual environment variable configuration. This update enables extensions to automatically prompt users for required details during installation and securely stores sensitive information, such as API keys, directly in the system keychain. Users can now easily manage and override these configurations globally or per project using the new Gemini extensions config command.

Data Commons has launched a free, hosted Model Context Protocol (MCP) service on Google Cloud Platform, eliminating the need for users to manage complex local server installations. This update simplifies connecting AI agents and the Gemini CLI to Data Commons, allowing Google to handle security, updates, and resource management while users query data natively.

Google is launching the Developer Knowledge API and MCP Server in public preview. This new toolset provides a canonical, machine-readable way for AI assistants and agentic platforms to search and retrieve up-to-date documentation across Firebase, Google Cloud, Android, and more. By using the official MCP server, developers can connect tools directly to Google’s documentation corpus, ensuring that AI-generated code and guidance are based on authoritative, real-time context.

Finetuning the FunctionGemma model is made fast and easy using the lightweight JAX-based Tunix library on Google TPUs, a process demonstrated here using LoRA for supervised finetuning. This approach delivers significant accuracy improvements with high TPU efficiency, culminating in a model ready for deployment.

LiteRT, the evolution of TFLite, is now the universal framework for on-device AI. It delivers up to 1.4x faster GPU, new NPU support, and streamlined GenAI deployment for models like Gemma.

At Thunderhill Raceway Park, a team of Google Developer Experts (GDEs) put a new „Trustable AI Framework” to the test. Here is how they used GCP, Gemini and Antigravity to turn high-velocity racing into a masterclass for agentic architecture.

New Gemini CLI hooks (v0.26.0+) let you tailor the agentic loop. Add context, enforce policies, and block secrets with custom scripts that run at predefined points in your workflow.

Optimizing GPU-to-GPU data transfer is a nuanced battlefield in AI/ML training, where efficiency clashes with soaring costs. Featured Snippet: The Crux of GPU-to-GPU Data Transfer In AI/ML distributed training, the Achilles heel often lies in the inter-GPU data transfer, a critical determinant of both training efficiency and operating expenses. Deep Analysis: When GPUs Talk, Efficiency…

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Big Tech îmbrățișează Energia Nucleară: Un Joc Periculos sau o Mișcare Strategică? Într-o eră unde AI-ul devine tot mai înfometat după energie, gigantii tehnologiei iau decizii care ar putea redefini peisajul energetic mondial. Să ne imaginăm, într-o notă ușor sarcastică, că chatboții nostri preferați ar putea avea un apetit nuclear. Sună ca un scenariu SF,…

Ce legătură există între AI și energia nucleară? Haideți să vorbim deschis: Inteligența Artificială (sau AI, pentru inițiați) e ca un atlet de performanță – consumă energie pe bandă rulantă. Nu e nicio surpriză că industria tech caută acum să-și alimenteze ‘muscatura’ energetică cu ceva mai robust: energia nucleară. De ce? Simplu: pentru a evita…

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FunctionGemma is a specialized AI model for function calling. This post explains why fine-tuning is key to resolving tool selection ambiguity (e.g., internal vs. Google search) and achieving ultra-specialization, transforming it into a strict, enterprise-compliant agent. A case study demonstrates the improved logic. It also introduces the „FunctionGemma Tuning Lab,” a no-code demo on Hugging Face Spaces, which streamlines the entire fine-tuning process for developers.

The Universal Commerce Protocol (UCP) is a new, open-source standard for agentic commerce, co-developed by Google and industry leaders. It establishes a common, secure language to connect consumer surfaces (like Gemini and AI Mode in Search) with business backends, enabling seamless shopping from product discovery to purchase. UCP simplifies integration for businesses, supports various payment providers, and is designed to power the next generation of conversational commerce experiences.

A practical guide to debugging and profiling JAX on Cloud TPUs. It outlines core components (libtpu, JAX/jaxlib) and essential techniques. Tools covered include: Verbose Logging (via libtpu env vars), TPU Monitoring Library for performance metrics, tpu-info for real-time utilization, XLA HLO Dumps for compiler debugging, and the XProf suite for in-depth performance analysis.

Learn how to build modular and reliable agentic applications using 8 effective multi-agent design patterns with the Agent Development Kit (ADK).

Gemini 3 is powering the next generation of reliable, production-ready AI agents. This post highlights 6 open-source framework collaborations (ADK, Agno, Browser Use, Eigent, Letta, mem0), demonstrating practical agentic workflows for tasks like deep search, multi-agent systems, browser and enterprise automation, and stateful agents with advanced memory. Clone the examples and start building today.

Conductor is a new Gemini CLI extension that promotes context-driven development. It shifts project context from chat logs to persistent Markdown files for formal specs and plans, ensuring AI agents adhere to project goals, style, and tech stack. This structured workflow is great for „brownfield” projects and teams, allowing for safe iteration and consistent code contributions while keeping the human developer in control.

Introducing the Agent Development Kit (ADK) for TypeScript, an open-source framework for building complex, multi-agent AI systems with a code-first approach. Developers can define agent logic in TypeScript, applying traditional software development best practices (version control, testing). ADK offers end-to-end type safety, modularity, and deployment-agnostic functionality, leveraging the familiar TypeScript/JavaScript ecosystem.

Gemini 3 Flash is now available in Gemini CLI. It delivers Pro-grade coding performance with low latency and a lower cost, matching Gemini 3 Pro’s SWE-bench Verified score of 76%. It significantly outperforms 2.5 Pro, improving auto-routing and agentic coding. It’s ideal for high-frequency development tasks, handling complex code generation, large context windows (like processing 1,000 comment pull requests), and generating load-testing scripts quickly and reliably.

A2UI is an open-source project for agent-driven, cross-platform, and generative UI. It provides a secure, declarative data format for agents to compose bespoke interfaces from a trusted component catalog, allowing for native styling and incremental updates. Designed for the multi-agent mesh (A2A), it offers a framework-agnostic solution to safely render remote agent UIs, with integrations in AG UI, Flutter’s GenUI SDK, Opal, and Gemini Enterprise.

The new Gemini Interactions API enables stateful, multi-turn AI agent workflows, providing a single interface for raw models and the Gemini Deep Research Agent. It can be integrated with existing ADK systems as a superior inference engine with simplified state management, or used as a transparent remote A2A agent via InteractionsApiTransport, allowing seamless expansion of multi-agent systems with minimal refactoring.

Gemini CLI’s new automatic **Session Management** (v0.20.0+) saves your conversation history, tool outputs, and reasoning, providing project-specific context. Resume easily using the **Interactive Session Browser** (`/resume`) or command-line flags (`–resume`). This feature ensures you never lose your work state, capturing prompts, tool execution details, and usage stats. Customize history with cleanup policies in `settings.json`.

Google Cloud enables end-to-end confidential applications, protecting sensitive data ‘in-use’ with hardware isolation. The solution combines Confidential Space (TEE/attestation), Oak Functions (private sandbox), and Oak Session (attested end-to-end encryption for scale). This framework anchors user trust in open-source components, proving confidentiality for sensitive workloads like proprietary GenAI models, even when running behind untrusted load balancers.

LiteRT and MediaTek are announcing the new LiteRT NeuroPilot Accelerator. This is a ground-up successor for the TFLite NeuroPilot delegate, bringing seamless deployment experience, state-of-the-art LLM support, and advanced performance to millions of devices worldwide.

ADK introduces **Context Engineering** to scale AI agents beyond large context windows. It treats context as a compiled view over a tiered, stateful system (**Session, Memory, Artifacts**). This architecture uses explicit processors for transformation, enables efficient compaction and caching, and allows for strict, scoped context handoffs in multi-agent workflows to ensure reliability and cost-effectiveness in production.

The new Data Commons extension for the Gemini CLI makes accessing public data easier. It allows users to ask complex, natural-language questions to query Data Commons’ public datasets, grounding LLM responses in authoritative sources to reduce AI hallucinations. Data Commons is an organized library of public data from sources like the UN and World Bank. The extension enables instant data analysis, exploration, and integration with other data-related extensions.

Gemini 3 is available via API with updates for developers: new `thinking_level` for depth control, `media_resolution` for multimodal processing, and enforced `Thought Signatures` for agentic workflows, especially with function calling and image generation. It also introduces combining Google Search/URL Grounding with Structured Outputs and new usage-based pricing for Grounding. Best practices, like using default temperature, are advised for optimal results.

LiteRT’s new Qualcomm AI Engine Direct (QNN) Accelerator unlocks dedicated NPU power for on-device GenAI on Android. It offers a unified mobile deployment workflow, SOTA performance (up to 100x speedup over CPU), and full model delegation. This enables smooth, real-time AI experiences, with FastVLM-0.5B achieving over 11,000 tokens/sec prefill on Snapdragon 8 Elite Gen 5 NPU.

Jules, an always-on, multi-step software development agent, now features Gemini 3, offering clearer reasoning and better reliability. Recent improvements include parallel CLI runs, a stable API, and safer Git handling. Upcoming features include directory attachment without GitHub and automatic PR creation. Jules aims to reduce software writing overhead so developers can focus on building.

Gemini 3 Pro Preview is introduced as a powerful, agentic model for complex, (semi)-autonomous workflows. New agentic features include `thinking_level` for reasoning control, Stateful Tool Use via Thought Signatures, and `media_resolution` for multimodal fidelity. It has Day 0 support for open-source frameworks like LangChain, AI SDK, LlamaIndex, Pydantic AI, and n8n. Best practices include simplifying prompts and keeping temperature at 1.0.

Introducing Google Antigravity, a new agentic development platform for orchestrating code. It combines an AI-powered Editor View with a Manager Surface to deploy agents that autonomously plan, execute, and verify complex tasks across your editor, terminal, and browser. Agents communicate progress via Artifacts (screenshots, recordings) for easy verification. Available now in public preview.

The JAX AI Stack is a modular, industrial-grade, end-to-end machine learning platform built on the core JAX library, co-designed with Cloud TPUs. It features key components like JAX, Flax, Optax, and Orbax for foundational model development, plus an extended ecosystem for the full ML lifecycle and production. This integration provides a powerful, scalable foundation for AI development, delivering significant performance advantages.

Gemini 3 Pro is now integrated into Gemini CLI, unlocking state-of-the-art reasoning, agentic coding, and advanced tool use for enhanced developer productivity. It’s available now for Google AI Ultra and paid Gemini API key subscribers (upgrade CLI to 0.16.x). Features include generating 3D apps and code from visual sketches, running complex shell commands, creating documentation, and debugging live Cloud Run services.

Metrax is a high-performance JAX-based metrics library developed by Google. It standardizes model evaluation by offering robust, efficient metrics for classification, NLP, and vision, eliminating manual re-implementation after migrating from TensorFlow. Key strengths include parallel computation of „at K” metrics (e.g., PrecisionAtK) for multiple K values and strong integration with the JAX AI Stack, leveraging JAX’s performance features. It is open-source on GitHub.

Google has launched the redesigned **Android AI Sample Catalog**, a dedicated, open-source application to inspire and educate Android developers on building AI-powered apps. It showcases examples using both on-device (Gemini Nano via ML Kit GenAI API) and Cloud models (via Firebase AI Logic SDK), including image generation with Imagen, on-device summarization, and a „Chat with Nano Banana” chatbot. The code is easy to copy and paste to help developers quickly start their own projects.

Google Colab has launched an official VS Code extension, bridging the gap between the popular code editor and the AI/ML platform. The extension combines VS Code’s powerful development environment with Colab’s seamless access to high-powered runtimes (GPUs/TPUs), allowing users to connect local notebooks to Colab. This aims to meet developers where they are and brings the best of both worlds.

Code Wiki is a new platform that tackles the bottleneck of reading existing code by providing an automated, continuously updated, structured wiki for code repositories. It features hyper-linked documentation, a Gemini-powered chat agent that understands your repo, and automated diagrams. A public preview is available for open-source projects, and a Gemini CLI extension is coming soon for secure use on private repos.

Agent Garden is now available to all users to simplify AI agent creation and deployment using the Agent Development Kit (ADK). It provides curated agent samples, one-click deployment via Agent Starter Pack, and customization through Firebase Studio. It helps developers with complex business challenges and multi-agent workflows, with Renault Group cited as an early success story.

The Agent Development Kit (ADK), an open-source, code-first toolkit for building powerful and sophisticated AI agents, now supports Go. ADK moves LLM orchestration and agent behavior directly into your code, giving you robust debugging, versioning, and deployment freedom. ADK for Go is idiomatic and performant, leveraging Go’s strengths, and includes support for over 30+ databases and the Agent-to-Agent (A2A) protocol for collaborative multi-agent systems. Start building today!

The new **User Simulation** feature in the Agent Development Kit (ADK) replaces rigid, brittle manual test scripts with dynamic, LLM-powered conversation generation. Developers define a high-level `conversation_plan`, and the simulator handles the multi-turn interaction to achieve the goal. This dramatically reduces test creation time, builds more resilient tests, and creates a reliable regression suite for AI agents.

The blog post argues the request-response model fails for advanced multi-agent AI. It advocates for a real-time bidirectional streaming architecture, implemented by the Agent Development Kit (ADK). This streaming model enables true concurrency, natural interruptibility, and unified multimodal processing. ADK’s core features are real-time I/O management, stateful sessions for agent handoffs, and streaming-native tools.

Introducing the Jules extension for Gemini CLI, an autonomous sidekick for developers. It accelerates coding workflows by offloading tasks like asynchronous work, bug fixes, and changes in new branches to Jules, while you stay in flow with Gemini CLI. Get started by installing the extension and using the /jules command to initiate and check task statuses.

We're excited to announce an enhancement to Gemini CLI that makes your workflow more powerful a…

Google is releasing Veo 3.1 and Veo 3.1 Fast, an updated video generation model, in paid preview via the Gemini API. This version offers richer native audio, greater narrative control, and enhanced image-to-video capabilities. New features include guiding generation with reference images, extending existing Veo videos, and generating transitions between frames. Companies like Promise Studios, Latitude, and Whering are already using Veo 3.1 for various applications.

Coral NPU is a full-stack platform for Edge AI, addressing performance, fragmentation, and user trust deficits. It’s an AI-first architecture, prioritizing ML matrix engines, and offers a unified developer experience. Designed for ultra-low-power, always-on AI in wearables and IoT, it enables contextual awareness, audio/image processing, and user interaction with hardware-enforced privacy. Synaptics is the first partner to implement Coral NPU.

Data Commons announces the availability of its MCP Server, which is a major milestone in making all of Data Commons’ vast public datasets instantly accessible and actionable for AI developers worldwide.

Google AI Edge provides the tools to run AI features on-device, and its new LiteRT-LM runtime is a significant leap forward for generative AI. LiteRT-LM is an open-source C++ API, cross-platform compatibility, and hardware acceleration designed to efficiently run large language models like Gemma and Gemini Nano across a vast range of hardware. Its key innovation is a flexible, modular architecture that can scale to power complex, multi-task features in Chrome and Chromebook Plus, while also being lean enough for resource-constrained devices like the Pixel Watch. This versatility is already enabling a new wave of on-device generative AI, bringing capabilities like WebAI and smart replies to users.

The new Genkit Extension for Gemini CLI gives the command line deep knowledge of Genkit’s architecture. It helps you build, debug, and iterate on AI apps with intelligent code generation, context-aware assistance, and tools to run flows and analyze traces directly from your terminal.

This guide shows you how to fine-tune the Gemma 3 270M model for custom tasks, like an emoji translator. Learn to quantize and convert the model for on-device use, deploying it in a web app with MediaPipe or Transformers.js for a fast, private, and offline-capable user experience.

To avoid data bottlenecks when training large models, this guide introduces Grain and ArrayRecord for building high-performance data pipelines.

Gemini Robotics-ER 1.5, now available to developers, is a state-of-the-art embodied reasoning model for robots. It excels in visual, spatial understanding, task planning, and progress estimation, allowing robots to perform complex, multi-step tasks.

For developers and researchers in the JAX ecosystem, the path from a pre-trained model to a fully al…

Our state-of-the-art image generation and editing model which has captured the imagination of the wo…

Ready to help turbocharge your workflow? We’re excited to introduce the Jules API—a new way to autom…

You can now work with Jules directly in your command line. Jules is our asynchronous coding agent th…

Multi-spectral imagery, which captures wavelengths beyond human vision, offers a „superhuman” way to understand the world, and Google’s Gemini models make this accessible without specialized training. By mapping invisible bands to RGB channels and providing context in the prompt, developers can leverage Gemini’s power for tasks like environmental monitoring and agriculture.

Google Home is enabling new Gemini-powered features for our partners’ devices and launching a new program to help them build the next generation of AI cameras.

The previous posts in the “Gemma explained” series provided a detailed overview of the Gemma model f…

We are excited to announce Grounding with Google Maps in Vertex AI is now Generally Available (GA). …

No AI/Agents without APIs!Many users interact with generative AI daily without realizing the crucial…

Delight users by combining ADK Agents with Fancy Frontends using AG-UIFor developers building genera…

Google is releasing updated Gemini 2.5 Flash and Flash-Lite preview models with improved quality, speed, and efficiency. These releases introduce a „-latest” alias for easy access to the newest versions, allowing developers to test and provide feedback to shape future stable releases.

Colab is back with a few new and exciting features meant to simplify and enhance your notebook-based…

Gemini CLI now seamlessly integrates with FastMCP, Python’s leading library for building MCP servers. We’re thrilled to announce this integration between two open-source projects that empowers you to effortlessly connect your custom MCP tools and prompts, directly to Gemini CLI!

The recent 0.2.0 release of Google’s Agent Development Kit (ADK) for Java adds an integration with t…

Google AI Edge has expanded the Gemma 3n preview to include audio support. Users can play with it on their own mobile phone using the Google AI Edge Gallery, which is now available in Open Beta on Play Store.

We are launching 1.0 stable release of Genkit Go, empowering Go developers to build performant, production-ready AI-powered applications with Genkit. Recent enhancements include support for integrating and building MCP tools, expanding third-party model provider support, and production AI monitoring with Firebase. Additionally, we are announcing a new feature in the Genkit CLI to provide AI development tools, like the Gemini CLI and Cursor, with the latest knowledge of Genkit – supercharging Genkit development experience when using AI assistance.

JAX, a framework known for large-scale AI model development, is proving to be a powerful tool in scientific computing, particularly for solving complex Partial Differential Equations (PDEs), now being leveraged by researchers to achieve significant speed-ups and memory reductions in solving high-order PDEs and demonstrating its potential to unlock new frontiers in scientific discovery.

Batch API now supports Embeddings and OpenAI CompatibilityToday we are extending the Gemini Batch AP…

A2A Extensions provide a flexible way to add custom functionalities to agent-to-agent communication, going beyond the core A2A protocol. They enable specialized features and are openly defined and implemented.

Today, we’re launching three big Veo updates: support for vertical format outputs (9:16 aspect ratio…

Learn how to use Google’s EmbeddingGemma, an efficient open model, with Google Cloud’s Dataflow and vector databases like AlloyDB to build scalable, real-time knowledge ingestion pipelines.

Introducing EmbeddingGemma: a new embedding model designed for efficient on-device AI applications from Google. This open model is the highest-ranking text-only multilingual embedding model under 500M parameters on the MTEB benchmark, enabling powerful features like RAG and semantic search directly on mobile devices without an internet connection.

Stax, an experimental developer tool, addresses the insufficient nature of „vibe testing” LLMs by streamlining the LLM evaluation lifecycle, allowing users to rigorously test their AI stack and make data-driven decisions through human labeling and scalable LLM-as-a-judge auto-raters.

Detailed prompting techniques and best practices for various applications, including photorealistic scenes, stylized illustrations, product mockups, and more using Google’s newly released Gemini 2.5 Flash Image; a natively multimodal model capable of generating, editing, and composing images using text, supporting capabilities like text-to-image, image editing, style transfer, and multi-image composition.

Google and Zed have partnered to integrate Gemini CLI directly into the Zed code editor, bringing AI capabilities directly into the editor for developers and allowing for faster and more focused coding, enabling tasks like in-place code generation, instant answers, and natural chat within the terminal with a seamless review workflow for AI-generated changes.

Gemini 2.5 Flash Image is a new state-of-the-art image generation and editing model that allows for blending multiple images, maintaining character consistency, and targeted transformations using natural language, leveraging Gemini’s world knowledge, now available through the Gemini API, Google AI Studio, and Vertex AI.

Gemini Code Assist’s Agent Mode, now available in VS Code (Preview) and IntelliJ (Stable), streamlines complex coding tasks by proposing detailed plans for user review and approval. This intelligent, collaborative approach, enhanced with features like inline diffs and persistent chat history, aims to boost developer productivity and efficiency.

Build and train a GPT2 model from scratch using JAX on Google TPUs, with a complete Python notebook for free-tier Colab or Kaggle. Learn how to define a hardware mesh, partition model parameters and input data for data parallelism, and optimize the model training process.

The Gemini API’s URL Context tool is now generally available, allowing developers to ground prompts using web content instead of manual uploads. This release expands support to PDFs and images.

Google announces the general availability of Imagen 4, its advanced text-to-image model, in the Gemini API and Google AI Studio, featuring significant improvements in text rendering. The new Imagen 4 Fast model, designed for speed and rapid image generation, is now available alongside Imagen 4 and Imagen 4 Ultra, with Imagen 4 and Imagen 4 Ultra also supporting up to 2K resolution image generation.

Google’s new Gemma 3 270M is a compact, 270-million parameter model offering energy efficiency, production-ready quantization, and strong instruction-following, making it a powerful solution for task-specific fine-tuning in on-device and research settings.

The latest Gemini CLI update provides a deep IDE integration within VS Code for intelligent, context-aware suggestions, and native in-editor diffing, allowing developers to review and modify proposed changes directly within the diff view for a more efficient workflow.

Jules’ critic functionality addresses potential issues like subtle bugs and missed edge cases in AI-generated code by acting as a peer reviewer within the generation process. This „critic-augmented generation” means proposed code changes undergo adversarial review, allowing Jules to improve its output and ultimately deliver higher-quality, pre-reviewed code.

LangExtract is a new open-source Python library powered by Gemini models for extracting structured information from unstructured text, offering precise source grounding, reliable structured outputs using controlled generation, optimized long-context extraction, interactive visualization, and flexible LLM backend support.

The Google Developer Program is rolling out major updates to make its tools and community more accessible and powerful. These enhancements include a new flexible monthly subscription tier, a centralized GDP Forum for collaboration, and increased Gemini CLI access for all members.

Google introduces Veo 3 Fast, an optimized model for speed and price, along with new image-to-video capabilities for both Veo 3 and Veo 3 Fast, enabling developers to efficiently create high-quality video content from text or still images, with varying pricing based on the model and audio inclusion, now available in the Gemini API.

The Gemini Embedding model enhances AI applications, particularly through context engineering, which is being successfully adopted by various organizations across industries to power context-aware systems, leading to significant improvements in performance, accuracy, and efficiency.

Max’s journey introduces LQRax, a JAX-native LQR solver, which exemplifies the growing JAX robotics ecosystem that includes tools like Brax, MJX, and JaxSim, highlighting the benefits of JAX for computational efficiency in optimal control and simulation, and for seamlessly integrating model-based and learning-based approaches.

Co-hosted by Ashley Oldacre and Christina Warren, People of AI podcast’s Season 5 will focus on the builders in the space of AI, highlighting the unique journeys, challenges, and triumphs of these innovators.

Apigee helps enterprises integrate large language models (LLMs) into existing API ecosystems securely and scalably, addressing challenges like authentication and authorization not fully covered by the evolving Model Context Protocol (MCP), and offering an open-source MCP server example that demonstrates how to implement enterprise-ready API security for AI agents.

Opal is a new experimental tool from Google Labs that helps you compose prompts into dynamic, multi-step mini-apps using natural language, removing the need for code, allowing users to build and deploy shareable AI apps with powerful features and seamless integration with existing Google tools.

New AI capabilities for popular frameworks in Firebase Studio include AI-optimized templates, streamlined integration with Firebase backend services, and the ability to fork workspaces for experimentation and collaboration, making AI-assisted app development more intuitive and faster for developers worldwide.

Gemini 2.5 Flash-Lite, previously in preview, is now stable and generally available. This cost-efficient model is ~1.5x faster than 2.0 Flash-Lite and 2.0 Flash, offers high quality, and includes 2.5 family features like a 1 million-token context window and multimodality.

Gemini’s advanced capability for conversational image segmentation allows intuitive interaction with visual data by understanding complex phrases, conditional logic, and abstract concepts, streamlining developer experience and opening doors for new applications in media editing, safety monitoring, and damage assessment.

The `logprobs` feature has been officially introduced in the Gemini API on Vertex AI, provides insight into the model’s decision-making by showing probability scores for chosen and alternative tokens. This step-by-step guide will walk you through how to enable and interpret this feature and apply it to powerful use cases such as confident classification, dynamic autocomplete, and quantitative RAG evaluation.

The updated Agent Development Kit (ADK) simplifies and accelerates the process of building AI agents by providing the CLI with a deep, cost-effective understanding of the ADK framework, allowing developers to quickly ideate, generate, test, and improve functional agents through conversational prompts, eliminating friction and keeping them in a productive „flow” state.

Veo 3, Google’s latest AI video generation model, is now available in paid preview via the Gemini API and Google AI Studio. Unveiled at Google I/O 2025, Veo 3 can generate both video and synchronized audio, including dialogue, background sounds, and even animal noises. This model delivers realistic visuals, natural lighting, and physics, with accurate lip syncing and sound that matches on-screen action.

The Marin project aims to expand the definition of ‘open’ in AI to include the entire scientific process, not just the model itself, by making the complete development journey accessible and reproducible. This effort, powered by the JAX framework and its Levanter tool, allows for deep scrutiny, trust in, and building upon foundation models, fostering a more transparent future for AI research.

In her first interview since the attack, Co-op’s chief executive said she was „incredibly sorry” to customers.

The Apigee API hub and Developer Portals are distinct but interconnected parts of the Apigee platform that help organizations discover and manage APIs for different personas, unlocking API potential and accelerating innovation.

Some social media users had threatened to delete their accounts after WeTransfer’s terms were updated.

The Gemini Embedding text model is now generally available in the Gemini API and Vertex AI. This versatile model has consistently ranked #1 on the MTEB Multilingual leaderboard since its experimental launch in March, supports over 100 languages, has a 2048 maximum input token length, and is priced at $0.15 per 1M input tokens.

Hackers have accessed personal information of potentially 800,000 customers of Flutter Entertainment.

Cabinet minister Heidi Alexander says age checks will not mark the „end of the conversation”.

GenAI Processors is a new open-source Python library from Google DeepMind designed to simplify the development of AI applications, especially those handling multimodal input and requiring real-time responsiveness, by providing a consistent „Processor” interface for all steps from input handling to model calls and output processing, for seamless chaining and concurrent execution.

Updates in Firebase Studio include new Agent modes, foundational support for the Model Context Protocol (MCP), and Gemini CLI integration, all designed to redefine AI-assisted development allow developers to create full-stack applications from a single prompt and integrate powerful AI capabilities directly into their workflow.

Three men and one woman – aged between 17 and 20 – have been arrested in London and the Midlands.

Anti-hate campaigners say the posts were „irresponsible, dangerous and antisemitic.”

T5Gemma is a new family of encoder-decoder LLMs developed by converting and adapting pretrained decoder-only models based on the Gemma 2 framework, offering superior performance and efficiency compared to its decoder-only counterparts, particularly for tasks requiring deep input understanding, like summarization and translation.

Her exit comes at a difficult time for Musk who, in a brief reply, thanked her for her „contributions.”

Shares in the chip-maker have surged in value as investment in AI continues to gather pace.

Technology editor Zoe Kleinman explores the tensions between humans and machines that were encapsulated at Wimbledon.

The new batch mode in the Gemini API is designed for high-throughput, non-latency-critical AI workloads, simplifying large jobs by handling scheduling and processing, and making tasks like data analysis, bulk content creation, and model evaluation more cost-effective and scalable, so developers can process large volumes of data efficiently.

An Xbox producer faces a backlash after suggesting AI tools can help to deal wih the emotions that follow job loss.

Peter Kyle says the Alan Turing Institute should prioritise boosting the UK’s AI capabilities.

The Velvet Sundown has racked up hundreds of thousands of streams on Spotify – without anyone even being sure if it’s real.

The US tech giant will axe 4% of its global workforce and plough money into artificial intelligence.

After Meta said some Facebook Groups were wrongly suspended, users tell the BBC the impact it is having – and say it’s a wider problem.

Developers adapt LLMs like Gemma for diverse languages and cultural contexts, demonstrating AI’s potential to bridge global communication gaps by addressing challenges like translating ancient texts, localizing mathematical understanding, and enhancing cultural sensitivity in lyric translation.

Elon Musk’s controversial role in the Trump administration has been blamed for the collapse in sales.

Google, along with Amazon and Cisco, announces the formation of the Agent2Agent Foundation under the Linux Foundation, establishing A2A as an industry standard for AI agent interoperability, fostering a diverse ecosystem, ensuring neutral governance, and accelerating secure innovation in AI applications.

Nikita Bier has previously developed platforms that have proved popular with teen users.

Imagen 4, Google’s advanced text-to-image model, is now available in paid preview via the Gemini API and Google AI Studio, offering significant quality improvements, especially for text generation within images. The Imagen 4 family includes Imagen 4 for general tasks and Imagen 4 Ultra for high-precision prompt adherence, with all generated images featuring a non-visible SynthID watermark.

UK regulator Ofcom is consulting on more safety measures for online platforms, such as preventing screen-records of children’s livestreams.

KerasHub enables users to mix and match model architectures and weights across different machine learning frameworks, allowing checkpoints from sources like Hugging Face Hub (including those created with PyTorch) to be loaded into Keras models for use with JAX, PyTorch, or TensorFlow. This flexibility means you can leverage a vast array of community fine-tuned models while maintaining full control over your chosen backend framework.

Google has released a new Python client library for Data Commons – an open-source knowledge graph that unifies public statistical data, and enhances how data developers can leverage Data Commons by offering improved features, support for custom instances, and easier access to a vast array of statistical variables – developed with contributions from The ONE Campaign.

The Gemma 3n model has been fully released, building on the success of previous Gemma models and bringing advanced on-device multimodal capabilities to edge devices with unprecedented performance. Explore Gemma 3n’s innovations, including its mobile-first architecture, MatFormer technology, Per-Layer Embeddings, KV Cache Sharing, and new audio and MobileNet-V5 vision encoders, and how developers can start building with it today.

In Lithuania and Australia, hungry fly larvae are used to process food waste into useful protein.

Trump Mobile maintains the gold smartphone will be made in the US, despite the changed wording on its website.

A research prototype simulating a neural operating system generates UI in real-time adapting to user interactions with Gemini 2.5 Flash-Lite, using interaction tracing for contextual awareness, streaming the UI for responsiveness, and achieving statefulness with an in-memory UI graph.

It is one of a number of porn sites which regulator Ofcom says will bring in tougher age verification for users.

Group administrators have reported receiving automated messages which incorrectly say they have violated the rules.

The new AI-first Google Colab enhances productivity with improvements powered by features like iterative querying for conversational coding, a next-generation Data Science Agent for autonomous workflows, and effortless code transformation. Early adopters report a dramatic productivity boost, accelerating ML projects, debugging code faster, and effortlessly creating high-quality visualizations.

The phone operator said it was „aware of an issue affecting voice services” and apologised for disruption.

Gemini 2.5 Pro and Flash are transforming robotics by enhancing coding, reasoning, and multimodal capabilities, including spatial understanding. These models are used for semantic scene understanding, code generation for robot control, and building interactive applications with the Live API, with a strong emphasis on safety improvements and community applications.

Videos posted online appear to show the newly launched self-driving cars speeding and driving in the wrong lane.

Tesla hopes to rival firms already offering driverless ride-hailing in the US and around the world, such as Waymo, Zoox and Baidu.

It is first time that the BBC has taken such action regarding alleged scraping of its content for AI.

It’s the third time the date has been moved back by Trump since he took office in January.

Gemini Code Assist in Apigee API Management enhances API development with AI-assisted features like natural language API creation, AI-generated summaries, and iterative design, allowing seamless integration with your organization’s existing API ecosystem and ensuring consistency, security, and reduced duplication, while offering enterprise-grade security and a streamlined development workflow.

The announcement comes as Trump pressures big technology firms to increase manufacturing in America.

The technology to build your own lethal weapon is promoted on social media

Google is releasing updates to its Gemini 2.5 model family, including the generally available and stable Gemini 2.5 Pro and Flash, and the new Gemini 2.5 Flash-Lite „thinking models” in preview, offering enhanced performance and accuracy, with Flash-Lite providing a lower-cost option.

Sam Altman said so far none of his „best people” had jumped ship to his big tech rival.

It is the latest plan by US President Donald Trump’s family that looks to cash in on his name.

Photographs appear to show how nickel mining damaged one the world’s most diverse marine environments

Meta AI users may be inadvertently making their searches public without realising it.

The apps use artificial intelligence to create fake nude images of people without their consent.

Leading artists said the bill needed to be changed to protect them from having their work copied by AI.

The Hollywood studios allege Midjourney’s image generator is a „bottomless pit of plagiarism”.

Use a sandboxed iframe to implement Google Pay on checkout pages, which helps comply with PCI DSS v4 requirements by isolating scripts. Shopify successfully implemented this method and passed the PCI DSS v4 audit.

The messaging app says the UK government’s demands over data access could set a „dangerous precedent.”

Disinformation spreading on social media platforms has stoked an already tense situation.

Nine companies are under investigation by Ofcom, using powers of the Online Safety Act.

The ROG Xbox Ally will use Game Pass on-the-go – meaning subscribers start off with hundreds of games.

The BBC understands proposals include a two-hour cap on apps and a 22:00 curfew.

Experts say his tech empire needs more of Musk’s attention – but also the continued custom of the government.

More than 3,000 people have reported problems during what is the latest in a long line of banking IT failures.

One retailer says it’s the „biggest gaming pre-order ever” – but there questions over whether high prices will dent sales.

Updates to Google’s agent technologies include the Agent Development Kit (ADK) with new Python and Java versions, an improved Agent Engine UI for management, and enhancements to the Agent2Agent (A2A) protocol for better agent communication and security.

The app acknowledged the viral hashtag had been become linked to „unhealthy weight loss content.”

Google AI Edge advancements, include new Gemma 3 models, broader model support, and features like on-device RAG and Function Calling to enhance on-device generative AI capabilities.

It’s the latest setback for the world’s most popular porn site, which is also under investigation by the EU.

Google Gemini models offer several advantages when building AI agents, such as advanced reasoning, function calling, multimodality, and large context window capabilities. Open-source frameworks like LangGraph, CrewAI, LlamaIndex, and Composio can be used with Gemini for agent development.

The bitter row over how to protect artists in the artificial intelligence age returns to the Lords.

Top announcements from Google I/O 2025 focus on building across Google platforms and innovating with AI models from Google DeepMind, with key focus on new tools, APIs, and features designed to enhance developer productivity and create AI-powered experiences using Gemini, Android, Firebase, and web.

Gemma 3n is a cutting-edge open model designed for fast, multimodal AI on devices, featuring optimized performance, unique flexibility with a 2-in-1 model, and expanded multimodal understanding with audio, empowering developers to build live, interactive applications and sophisticated audio-centric experiences.

The Magic Mirror project utilizes the Gemini API, including the Live API, Function Calling, and Grounding with Google Search, to create an interactive and dynamic experience, demonstrating the power of the Gemini models to generate visuals, tell stories, and provide real-time information through a familiar object.

New research singles out the Amazon Fire Stick as the most popular means of accessing illegal streams.

The tech billionaire and Doge have spearheaded dramatic changes in the US government and Washington.

Three developer-friendly MarTech solutions – sGTM Pantheon for data control, GA4 Dataform for data transformation, and FeedX for A/B testing shopping feeds – empower developers to leverage marketing data for insights, strategies, and better results.

Affected customers – who have waited years for the console launch – have reacted with fury.

Some in-store services are also suspended – the lingerie firm says it is „working round the clock” to restore them.

Google Pay support within Android WebView is now available, starting with WebView version 137 and Play Services 25.18.30, allowing users to utilize the native Google Pay payment sheet within embedded web checkout processes.

The $300m deal, which will last one year, will see xAI’s assistant Grok integrated into Telegram.

LiteRT has been improved to boost AI model performance and efficiency on mobile devices by effectively utilizing GPUs and NPUs, now requiring significantly less code, enabling simplified hardware accelerator selection, and more for optimal on-device performance.

The sportswear giant says criminals accessed its systems through a „third-party customer service provider.”

Stitch, a new Google Labs experiment, uses AI to generate UI designs and frontend code from text prompts and images, aiming to streamline the design and development workflow, offering features like UI generation from natural language or images, rapid iteration, and seamless paste to Figma and front-end code.

With a leap in the evolution of large language models, some leading thinkers are questioning whether AI might become sentient

Google AI Studio has been upgraded to enhance the developer experience, featuring native code generation with Gemini 2.5 Pro, agentic tools, and enhanced multimodal generation capabilities, plus new features like the Build tab, Live API, and improved tools for building sophisticated AI applications.

Google Wallet has expanded globally and introduced new features like digital IDs via a new Digital Credentials API, granular notifications for pass updates, and nearby pass notifications, along with other features like Value Added Opportunities and a Pass Upgrade experience.

Announcing new features and models for the Gemini API, with the introduction of Gemini 2.5 Flash Preview with improved reasoning and efficiency, Gemini 2.5 Pro and Flash text-to-speech supporting multiple languages and speakers, and Gemini 2.5 Flash native audio dialog for conversational AI.

M&S said earlier this week that the hackers got into systems via a third party – but did not say who that was.

In a fictional scenario, the model was willing to expose that the engineer seeking to replace it was having an affair.

Trump hosted the biggest investors in his own cryptocurrency, but insisted he put the country ahead of his businesses interests.

Gemini intelligence is being integrated into Google Home APIs, offering developers access to over 750 million devices and enabling advanced features like AI-powered camera analysis and automated routines.

The man who designed the iPad, iMac and iPhone will try to come up with a new generation of products for the AI era.

At Google I/O 2025, new Google Pay API updates were unveiled to enhance checkout experiences with features like Android WebViews integration, a more versatile API, and improved developer tools.

A joint investigation by the UK and allies found Russian hackers in the systems of logistics organisations.

Google Colab is launching a reimagined AI-first version at Google I/O, featuring an agentic collaborator powered by Gemini 2.5 Flash with iterative querying capabilities, an upgraded Data Science Agent, effortless code transformation, and flexible interaction methods, aiming to significantly improve coding workflows.

Ian Stuart, from HSBC, said banks were spending „enormous” sums shoring up their IT systems.

Detailed weather forecasts and better predictions about the rain will soon be enjoyed in the UK.

BBC’s Joe Tidy spoke directly to those who claim they are responsible for hacking M&S and Co-op.

The company apologised to customers after its app and website went down on Friday afternoon.

The world’s largest cloud computing company plans to spend £8bn on new data centres in the UK over the next four years.

The firm says hackers have obtained customer information by paying off employees.

The Apigee APIM Operator is now generally available, bringing API Management and Gateway capabilities to GKE environments using Kubernetes-like YAML configuration, providing developer-native tooling, reducing friction, and offering policy management comparable to Apigee Hybrid.

The grocery chain says it is working with its suppliers to restock shelves after a cyber-attack.

Experts predicted that artificial intelligence would steal radiology jobs. But at the Mayo Clinic, the technology has been more friend than foe.

Keras Recommenders (KerasRS) is a new library announced to help developers build recommendation systems using APIs with building blocks for ranking and retrieval, and it can be installed via pip with support for JAX, TensorFlow, or PyTorch backends.

The retail giant is still not taking online orders following a cyber attack three weeks ago.

The Federal Railroad Administration has brought in the tunneling company to see if it could help with a multibillion-dollar rail project.

Agent2Agent (A2A) protocol is an open standard designed to enable AI agents from different vendors and frameworks to collaborate and exchange information across enterprise platforms aiming to foster a future of seamless AI agent interoperability and enhanced automation.

The technology being trailed in the north of Scotland is powered by billionaire Elon Musk’s company Starlink.

As the president heads to the Middle East, America’s dominance over A.I. chips has become a powerful source of leverage for the president.

The Agent Development Kit (ADK), an open-source framework from Google designed to simplify the development of multi-agent systems, providing tools for building, interacting, evaluating, and deploying agents.

Gemini 2.5 marks a major leap in video understanding, achieving state-of-the-art performance on key video understanding benchmarks and being able to seamlessly use audio-visual information with code and other data formats.

The Tesla billionaire is using his social media site X to rant and accuse. The politics of rage rarely worked out well for earlier moguls.

They are among 400 artists appealing to Sir Keir Starmer, saying creative industries are threatened.

A federal judge’s recent ruling has made it possible for apps to sell software and subscriptions outside the App Store without having to pay a commission.

Revisit announcements from this year’s Games Developer Conference (GDC). Explore how Gemma and Gemini models can aid in building AI experiences in games with the launch of Gemma 3, the Unity plugin, its application in a sample game, and scaling games with generative AI in Google Cloud.

The UK demanded in January that porn sites show how they were beefing up age verification to stop children accessing them.

Court documents show the company commissioned a sham report and lied on the stand to justify its actions, which will cast a shadow over future lawsuits.

The rollout of implicit caching in the Gemini API expands on the existing explicit caching API, providing an „always on” caching system which offers automatic cost savings to developers using Gemini 2.5 models and continued availability of the explicit caching API for guaranteed savings.

In a letters to MPs, four major banks have set out the extent of the disruption caused in February’s outage.

It argues the regulations could threaten the privacy and safety of Wikipedia’s volunteer contributors.

Sam Altman, OpenAI’s chief executive, said he hired Instacart’s Fidji Simo to join in a new role as chief executive of applications.

Gemini 2.0 Flash’s image generation capabilities, now available in preview in Google AI Studio and Vertex AI, feature higher rate limits, enhanced visual quality, more precise text rendering, and more, allowing developers to create applications for product recontextualization, collaborative image editing, and dynamic SKU generation.

It says the 2024 summer riots showed the regulator does not have the tools to stop the spread of viral misinformation.

The tech billionaire’s staff was concerned that correspondence about his home in West Lake Hills would become public after neighbors complained.

An updated I/O edition preview of Gemini 2.5 Pro is being released for developers, featuring best-in-class front-end and UI development performance, ranking #1 on the WebDev Arena leaderboard, and showcasing applications like video to code and easier feature development through starter apps.

Updates to the Gemini API, including the production readiness of Veo 2 for video generation, the preview of the Live API for real-time interactions, and the upcoming Gemini 2.5 Flash model, alongside the existing Gemini 2.5 Pro aim to enhance developer capabilities in building AI applications with improved thinking models, dynamic interactions, and high-quality video generation.

The retailer says „sustained malicious attempts by hackers” is affecting its IT systems.

The company will become a public benefit corporation and the nonprofit that has controlled it will be its largest shareholder.

The move follows a bitter power struggle over the business.

The Google Developer Program is evolving with AI-powered tools like Gemini Code Assist and expanded resources, including new Premium and Enterprise offerings, access to product previews, and increased workspace capacity, making it easier for developers to build and innovate.

The NCSC urges firms to check IT help desk „password reset processes” as hackers target retailers.

A new wave of “reasoning” systems from companies like OpenAI is producing incorrect information more often. Even the companies don’t know why.

Residents of an upscale enclave outside Austin, Texas, learned the hard way what it’s like when a multibillionaire moves into the mansion next door. Some of them have started a ruckus over it.

Generate high-quality videos from text and image prompts with Veo 2, a video generation model, now generally available in the Gemini API and Google AI Studio to enhance your content creation and marketing efforts.

As Microsoft shuts it down, we’ve spoken to people whose lives were impacted by the tools.

Residents of Oakdale, Calif., have abandoned traditional media outlets for a mishmash of online sources. These days, they’re often not sure what information to trust.

The Apigee Extension Processor enhances Apigee’s capabilities by enabling it to manage gRPC streaming and integrate with Google Cloud services through Cloud Load Balancing, allowing for applying Apigee policies to a wider range of backend services, and improving secure access to Google Cloud infrastructure.

The firm previously said there was „no evidence that customer data was compromised”.

The tech giant said it would make its Gemini chatbot available to children next week, and warned families in an email about the changes.

Little Language Lessons, a project leveraging Gemini’s API and Cloud services to generate content, translate, and provide text-to-speech functionalities, includes vocabulary lessons, slang practice, and object recognition for language learning.

The pricing error allowed some shoppers to get pasta sauce, coffee and cookies for free.

Irish investigators said TikTok did not protect the data of users in the European Union, improperly transferring some of it to China. TikTok said it would appeal.

Gemma 3’s new features include vision-language capabilities and architectural changes for improved memory efficiency and longer context handling compared to previous Gemma models.

The retailer is reeling from a ransomware attack – here’s what other people did when in the same situation.

The ruling was a stinging defeat for Apple in a long-running antitrust case brought by Epic Games, the maker of Fortnite, on behalf of app developers.

Llama 4, Meta’s advanced large language model, is now generally available as a fully managed API on Vertex AI, simplifying deployment and management. The Llama 3.3 70B managed API is also generally available, offering users greater flexibility.

The retailer says it’s disabled parts of its IT systems in response to the incident.

Here are some best practices for safeguarding sensitive personal data.

Updates to the Google Auth Platform include changes to OAuth configuration, client secrets display, and automatic deletion of unused clients, making the platform more secure and easier to use.

In the competitive landscape of the tech industry, generating high-quality leads is crucial for business growth and sustainability. This blog highlights proven lead generation methods and tools specifically designed for tech enterprises. Find out how TechForge can help solve your marketing challenges here.  Effective Lead Generation Methods Content Marketing Content marketing remains a cornerstone of […]

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The company not saying who carried out the attack – or when their systems will be restored – suggests it’s serious.

World Liberty Financial has eviscerated the boundary between private enterprise and government policy in ways without precedent in modern American history.

The landscape of tech events and webinars has undergone significant transformations in recent years. As a B2B marketing agency in the tech industry, TechForge understands the evolving trends and innovations that are shaping the future of these crucial marketing tools.  This blog explores the current trends and innovations in tech events and webinars and how […]

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Creșterea sentimentului pro-rus în Balcani, alimentată de slăbiciunile interne și de atracția față de imaginea lui Putin, reprezintă o amenințare subestimată pentru securitatea Europei de Est.

Portul Constanța și Marea Neagră sunt esențiale pentru securitatea regională, însă vulnerabilitățile interne ale României pot deschide oportunități pentru Rusia într-un context geopolitic deja fragil.

Alegerile din România 2025 nu sunt doar un moment electoral intern, ci un test major pentru stabilitatea flancului estic NATO și pentru protejarea intereselor strategice ale SUA și Israelului într-o regiune esențială.

Securitatea regională în Europa de Est depinde de stabilitatea României, unde Portul Constanța devine o miză crucială; problemele de justiție și corupție trebuie rezolvate pentru a preveni vulnerabilități în fața intereselor ruse și chineze.

Influența chineză în Balcani evidențiază provocările strategice pentru SUA într-o regiune esențială, testând capacitatea americanilor de a proteja interesele europene și de a contracara extinderea rivalilor.

Securitatea economică a regiunii depinde de consolidarea statului de drept în România, un aspect esențial pentru protejarea investițiilor și parteneriatelor strategice cu SUA.

Investițiile americane în Europa de Est reprezintă o oportunitate majoră pentru România, dar atragerea lor depinde crucial de consolidarea unui climat stabil și predictibil bazat pe lege.

Parteneriatul România–SUA amplifică rolul strategic al Constanței atât în sfera militară, cât și în cea economică, transformând orașul într-un pilon regional vital pentru securitatea Mării Negre.

Google AI Studio now has an expanded gallery of starter apps, and other updates including more intuitive prompting experience, native code editing, and various interactive examples demonstrating Gemini model capabilities, plus a refreshed UI – so you can continue building with the Gemini API.

Creșterea semnificativă a investițiilor străine în infrastructura Europei de Est acționează ca un catalizator puternic, remodelând profund peisajul geopolitic și economic al regiunii. Această infuzie de capital aduce cu sine oportunități considerabile, cum ar fi modernizarea rețelelor de transport, crearea de noi locuri de muncă și stimularea creșterii economice. Cu toate acestea, această transformare nu este lipsită de provocări, ridicând întrebări legate de dependența economică, influența politică externă și necesitatea asigurării unor standarde de transparență și sustenabilitate în implementarea proiectelor. Astfel, Europa de Est se află într-o etapă crucială, navigând între potențialul de dezvoltare accelerată și riscurile asociate cu o dependență crescută de capitalul străin.

The retail giant’s online business remains suspended with no indication yet when it will be restored.

Fluxul crescut de investiții asiatice dinamizează conexiunile dintre Europa și economia mondială, creând noi oportunități de creștere și colaborare. În acest context, Europa de Est capătă o importanță strategică tot mai mare, transformându-se într-un punct nodal esențial pentru extinderea influenței economice asiatice pe continent. Această evoluție aduce cu sine un potențial semnificativ de dezvoltare infrastructurii, crearea de locuri de muncă și intensificarea schimburilor comerciale în regiune. Prin urmare, Europa de Est devine un pilon central în procesul de integrare economică globală facilitat de investițiile asiatice.

Modernizarea coridoarelor comerciale din Europa de Est oferă noi oportunități economice și schimbă balanța logistică regională în 2025.Pe lângă beneficiile economice directe, modernizarea coridoarelor comerciale are un impact semnificativ asupra balanței logistice regionale. Țările din Europa de Est devin puncte de tranzit mai atractive pentru fluxurile comerciale dintre Europa, Asia și Orientul Mijlociu, consolidându-și rolul strategic în rețelele logistice globale. Această transformare poate reduce dependența de rutele tradiționale și poate diversifica opțiunile de transport pentru companiile din întreaga Europă,

China își consolidează controlul logistic în Europa de Est prin investiții strategice în porturi, o mișcare care face parte din inițiativa sa globală „Belt and Road”. Această strategie implică achiziționarea și modernizarea porturilor din regiune, cum ar fi portul Piraeus din Grecia, care a devenit un hub-cheie pentru accesul Chinei pe piețele europene

China își intensifică prezența economică în Europa de Est în 2025, canalizând investiții majore către proiecte logistice și de infrastructură strategică. Balcanii devin punctul central al acestei expansiuni, datorită poziției lor cheie între Asia și Europa. Prin modernizarea rutelor comerciale și portuare, Beijingul își consolidează influența asupra fluxurilor economice regionale. Această tendință deschide noi oportunități, dar ridică și întrebări strategice pentru viitorul zonei.

Plus, teaching student athletes how to go viral.

In today’s digital age, social media has become a vital tool for tech companies to engage with their audience, build brand awareness, and drive business growth.  As a brand with a growing social media presence in the tech world, we understand the unique challenges and opportunities that the industry presents. This blog explores the role […]

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Three generative AI-powered MarTech solutions from Google designed to help developers streamline marketing material creation, personalize campaigns, and enhance ad performance. Discover ViGenAiR for video ad creation, Adios for image asset management and generation, and Copycat for on-brand ad copy generation.

Squat rhinos lived in North America about 12 million years ago, congregating in huge, water-bound herds much like modern hippos.

The release of int4 quantized versions of Gemma 3 models, optimized with Quantization Aware Training (QAT) brings significantly reduced memory requirements, allowing users to run powerful models like Gemma 3 27B on consumer-grade GPUs such as the NVIDIA RTX 3090.

In the competitive tech industry, standing out online is crucial for business success. Search engine optimization (SEO) is a powerful tool that tech companies can use to improve their search rankings, drive organic traffic, and attract high-quality leads. At Sarghy Design, we specialize in providing B2B marketing strategies and solutions tailored to tech companies. Here are […]

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I worried that my 4-year-old was being too disruptive during a museum visit when I saw a woman approach us. She told me exactly what I needed to hear.

Explore real world applications for the Live API for Gemini models, now updated to include enhanced features for real-time audio, video, and text processing, improved session management, control over interactions, and richer output options.

Email marketing remains one of the most effective channels for reaching and engaging your audience, especially in the tech industry. However, the success of email campaigns hinges on understanding what works and what doesn’t.  Email marketing is a key platform for TechForge, so we understand the strategies needed to maintain high open rates, click-through rates, […]

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Google I/O’s agenda is live, with keynotes and sessions scheduled for May 20-21, focusing on AI advancements, Android development, and web technologies. Register now to explore the full program, join us during the event for livestreams, on-demand sessions, and codelabs.

At TechForge, we understand the strategies needed to craft engaging editorial content for the evolving and fast-paced tech industry that drives engagement and conversions. Here’s how you can develop impactful content tailored for a tech-savvy audience. Understanding Your Audience The foundation of any successful content strategy is a thorough understanding of your target audience. In […]

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In the rapidly evolving tech industry, standing out among competitors and capturing the attention of potential clients can be challenging. However, content marketing has emerged as a powerful strategy for tech companies to engage their audience, build brand authority, and generate leads. At TechForge, we specialize in helping tech businesses harness the power of content […]

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In the fast-paced tech industry, having a well-structured marketing plan is crucial for staying ahead of the competition and driving business growth. As a B2B marketing agency, TechForge understands the unique challenges and opportunities that tech companies face. This step-by-step guide will help you create a cohesive and effective marketing plan tailored to the needs […]

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In the B2C space, influencer marketing has long been a staple for brands looking to reach wide audiences through trusted voices. But in the B2B tech industry, where buying decisions are often more complex and driven by multiple stakeholders, influencer marketing is still emerging as a powerful tool. TechForge, a B2B marketing agency specializing in […]

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Coinbase, a global leader in crypto, is leading an insightful keynote at the upcoming virtual Blockchain & AI Expo 2024, taking place on 31 October. Jeff Lunglhofer, Chief Information Security Officer at Coinbase, will be an esteemed speaker at the event that brings together leaders, innovators and professionals from across the blockchain and AI industries. […]

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The firm said it was ‘truly sorry for this inconvenience’ in a post on X.

Israel developed new artificial intelligence tools to gain an advantage in the war. The technologies have sometimes led to fatal consequences.