Search

2591 results

Clear filters
  • 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
  • MAY 20, 2025 / Gemini

    Building agents with Google Gemini and open source frameworks

    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.

    Building agents with Google Gemini and open source frameworks
  • MAY 20, 2025 / AI Edge

    LiteRT: Maximum performance, simplified

    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.

    Built with LiteRT: Maximum Performance, Simplified
  • MAY 20, 2025 / Gemini

    From idea to app: Introducing Stitch, a new way to design UIs

    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.

    From idea to app: Introducing Stitch, a new way to design UIs
  • MAY 20, 2025 / Gemma

    Announcing Gemma 3n preview: powerful, efficient, mobile-first AI

    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.

    Gemma 3n
  • MAY 20, 2025 / AI Edge

    On-device small language models with multimodality, RAG, and Function Calling

    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.

    Google AI Edge: Small Language Models with Multimodality, RAG, and Function Calling
  • MAY 20, 2025 / Android

    What you should know from the Google I/O 2025 Developer keynote

    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.

    What you should know from the Google I/O 2025 Developer keynote
  • MAY 20, 2025 / Cloud

    What's new with Agents: ADK, Agent Engine, and A2A Enhancements

    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.

    What's New with Agents ADK, Agent Engine, and A2A Enhancements- Google I/O
  • MAY 13, 2025 / TensorFlow

    Build and train a recommender system in 10 minutes using Keras and JAX

    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.

    Build and train a Recommender System in 10 minutes using Keras and JAX
  • MAY 12, 2025 / Cloud

    Google Cloud announces general availability of APIM Operator for Apigee

    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.

    Apigee-API-Hub-Feature