Google AI coding assistant for VS Code and JetBrains.
Gemini Code Assist is Google enterprise AI coding assistant available as a plugin for VS Code and JetBrains IDEs. It offers inline completions, AI chat, code transformation, and test generation powered by Gemini models.
Live preview · cloud.google.com/gemini/docs/codeassist/overview
Google DeepMind has upgraded its Co-Scientist system from a hypothesis generator into a closed-loop research partner that plans experiments, controls lab equipment, and writes manuscripts. Built on Gemini 3 models, the system cut fabricated-result rates from 46% to 4% using new verification modules, according to Google.
Google DeepMind published a retrospective on 15 years of game-based AI research, tracing a line from 2015's Atari-playing DQN through AlphaGo, AlphaZero, MuZero, and AlphaStar to its current generalist agent, SIMA 2. The post also details a new research partnership with Fenris Creations, the studio behind EVE Online, to study continual learning, memory, and long-horizon planning in a persistent multiplayer universe.
Google DeepMind has released SL2T, a massively multilingual sign-language-to-text translation model trained on over 100,000 hours of data across 50+ sign languages. The model powers new sign-to-text dictation features in Gboard and Live Transcribe on Pixel 11, starting with American Sign Language to English.
Google DeepMind has introduced Gemini Robotics 2, a vision-language-action model it calls its most advanced yet, designed to control everything from tabletop robot arms to full-body humanoids. The company also released Gemini Robotics ER 2, an embodied reasoning model that replaces ER 1.6.
Google DeepMind has released Gemini Robotics ER 2, an embodied reasoning model that acts as a high-level planning brain for robots, adding continuous video progress tracking, precision moment-finding, and multi-robot collaboration. The model is available now via the Gemini API and Google AI Studio, with private preview access on the Gemini Enterprise Agent Platform.
Google DeepMind researchers developed GenCeption, which repurposes Alibaba's Wan2.1 video generator for computer vision tasks including depth estimation, segmentation, and 3D pose estimation. The model matches state-of-the-art specialized systems while training on only 7,500 synthetic videos—between 7 and 500 times less data than competing approaches.
Google has released Gemini 3.1 Flash Lite Image, also called Nano Banana 2 Lite, which the company describes as its fastest and cheapest image generation model. The model is available through Google's AI Studio and Gemini API with the identifier gemini-3.1-flash-lite-image.
Google DeepMind released Nano Banana 2 Lite (gemini-3.1-flash-lite-image), its fastest image generation model with 4-second text-to-image latency priced at $0.034 per 1K-resolution image. The company also opened developer access to Gemini Omni Flash (gemini-omni-flash-preview) for video generation and editing at $0.10 per second of output.