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94 results
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.
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.
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.
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.
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.
MARCH 3, 2025 / Gemini
Data Science Agent in Colab: The future of data analysis with Gemini
The Data Science Agent in Google Colab, powered by Gemini, can now generate complete, working notebooks from simple natural language descriptions, so developers can automate data analysis tasks, saving time to focus on deriving insights.
FEB. 25, 2025 / Gemini
Start building with Gemini 2.0 Flash and Flash-Lite
Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI. 2.0 Flash-Lite offers improved performance over 1.5 Flash across reasoning, multimodal, math and factuality benchmarks. For projects that require long context windows, 2.0 Flash-Lite is an even more cost-effective solution, with simplified pricing for prompts more than 128K tokens.
FEB. 13, 2025 / Gemma
Beyond the Chatbot: Agentic AI with Gemma
A practical guide to constructing a Gemma 2-based Agentic AI system – a type of AI that can make its own decisions and use external tools to achieve goals – that can generate dynamic content for a fictional game world.
FEB. 5, 2025 / Gemini
Gemini 2.0: Flash, Flash-Lite and Pro
The Gemini 2.0 model family is seeing significant updates, including the release of Gemini 2.0 Flash, which is now production-ready and boasts higher rate limits, enhanced performance, and simplified pricing. Developers can also start testing an updated experimental version of Gemini 2.0 Pro today. Additionally, a new variant called Gemini 2.0 Flash-Lite, specifically designed for large-scale workloads, will be made available next week.
DEC. 23, 2024 / AI
See the Similarity: Personalizing Visual Search with Multimodal Embeddings
Learn how to build a visual search tool using Google's Multimodal Embeddings API and explore how to apply this technology for searching images, slides, and more.
