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  • JUNE 24, 2025 / Gemini

    Imagen 4 is now available in the Gemini API and Google AI Studio

    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.

    Imagen 4 is now available on Gemini API and Google AI Studio
  • 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
  • JUNE 17, 2025 / Gemini

    Gemini 2.5: Updates to our family of thinking models

    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.

    Gemini 2.5: Updates to our family of thinking models
  • 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 / 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 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 9, 2025 / Cloud

    Google AI for game developers

    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.

    Google AI for Game Developers
  • APRIL 30, 2025 / Gemma

    Gemma explained: What’s new in Gemma 3

    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.

    What's new in Gemma-3