Explore Firebase's new AI-powered app development tools and resources, including demos, documentation, and best practices at Firebase Demo Day 2024.

Explore real-world applications of Gemini's multimodal AI capabilities, from detailed image descriptions, information extraction, object detection, video summarization, and more.

Explore innovative projects from the Gemini API Competition, like Omni, EcoTrack, ITMZ, Jana AI, Eagle AI, and AlphaFit, demonstrating the potential of the Gemini API to enhance productivity, promote sustainability, and improve well-being.

The Google Developer Program premium membership offers benefits such as Google Cloud credits, certification vouchers, and access to Cloud Skills Boost.

The winners of the Gemini API Developer Competition showcased the potential of the Gemini API in creating impactful solutions, from AI-powered personal assistants to tools for accessibility and creativity.

The range of family of Gemini models has expanded in the past year in response to developer needs, introducing faster and more cost-effective models, and enhancing tools in Google AI Studio.

Google Cloud Next 2025, happening April 9-11 in Las Vegas, will feature expanded developer content, interactive experiences, and opportunities to connect with peers and Google experts.

The Android XR SDK, a new platform for building extended reality (XR) experiences on Android, is now available for devs to try, and to give feedback.

The integration of Gemini's 1.5 models with Sublayer's Ruby-based AI agent framework enables developer teams to automate their documentation process, streamline workflows, and build AI-driven applications.

Learn how to build Go applications using Project IDX, an AI-assisted workspace for full-stack app development.

OpusClip utilizes Gemini 1.5 Flash's multimodal capabilities to enhance video understanding and streamline content creation, leading to cost savings and increased engagement.

Explore three Gemini starter apps that provide developers with production ready tools to build AI-powered projects with open source functionalities like spatial analysis, and video interactions.

PaliGemma 2, the next evolution in tunable vision-language models, comes with new features such as scalable performance, long captioning, and expanded capabilities. Get started with pre-trained models, documentation, and tutorials.

All are invited to Women in AI Summit 2024 to explore the latest in generative AI with sessions for all expertise levels, focusing on Google AI tools, models, solutions, and insight from women leaders in the AI field.

AI Singapore and INSAIT teams have leveraged Gemma, a family of open-source language models, to create LLMs tailored to the unique needs of their communities, in a show of innovation and inclusivity in AI.

A free Coursera course on quantum error correction, developed by Google Quantum AI, explains the importance of error correction in quantum computing and provides an overview of quantum errors.

Today, we're announcing that Francois Chollet, the creator of Keras and a leading figure in the AI world, is embarking on a new chapter in his career outside of Google.

vLLM's continuous batching and Dataflow's model manager optimizes LLM serving and simplifies the deployment process, delivering a powerful combination for developers to build high-performance LLM inference pipelines more efficiently.

Gemini 2.0 Flash has enhanced capabilities like multimodal outputs and native tool use, and introduces new coding agents to improve developer productivity, now available for testing in Google AI Studio.