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  • MAY 27, 2026 / Google Pay

    The latest updates to Google Pay

    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.

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  • MAY 26, 2026 / Google Pay

    Enhancing Android Checkout with Dynamic Callbacks in Google Pay

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

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  • APRIL 15, 2026 / Pay

    New enhancements for merchant initiated transactions with the Google Pay API

    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.

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  • AUG. 12, 2025 / Google Labs

    Meet Jules’ sharpest critic and most valuable ally

    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.

    Jules critic agent
  • JULY 30, 2025 / Gemini

    Gemini Embedding: Powering RAG and context engineering

    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.

    Gemini Embedding: Powering RAG and context engineering
  • JUNE 24, 2025 / Gemini

    Supercharge your notebooks: The new AI-first Google Colab is now available to everyone

    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.

    Supercharge your notebooks: The new AI-first Google Colab is now available to everyone
  • JUNE 24, 2025 / Kaggle

    Using KerasHub for easy end-to-end machine learning workflows with Hugging Face

    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.

    How to load model weights from SafeTensors into KerasHub for multi-framework machine learning
  • JUNE 23, 2025 / Kaggle

    Multilingual innovation in LLMs: How open models help unlock global communication

    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.

    Multilingual innovation in LLMs: How open models help unlock global communication
  • MAY 20, 2025 / Gemini

    Fully Reimagined: AI-First Google Colab

    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.

    Google Colab's reimagined Al-first experience
  • APRIL 15, 2025 / Cloud

    Apigee announces general availability of APIM Extension Processor

    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.

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