Google DeepMind launches an Accelerator program in Asia Pacific to develop AI solutions addressing environmental risks. The initiative provides funding, technical expertise, and Google Cloud access to local startups and researchers.
Google DeepMind uses Co-Scientist, an AI agent, to identify genetic factors that successfully rejuvenate human cells. Researchers discovered novel genes involved in cellular aging processes.
Google DeepMind expands access to Google AI Ultra subscribers globally and introduces a new capability powered by Street View to simulate real-world places.
Google DeepMind introduces Gemini Omni, a multimodal model processing text, audio, video, and images as native inputs and outputs. The model delivers ultra-low latency and improved performance on reasoning and vision benchmarks.
Google DeepMind releases Gemini for Science, a suite of AI tools and experiments designed to accelerate scientific research by expanding the scale and precision of scientific exploration.
Google DeepMind partners with Singapore to deploy frontier AI addressing health, education, and sustainability challenges. National partnership to tackle complex problems.
Clare Bryant uses Co-Scientist, a Google DeepMind AI tool, to identify genetic triggers in emerging infectious diseases. The approach combines computational analysis with biological expertise to accelerate discovery of molecular mechanisms.
Calico Life Sciences uses Co-Scientist, a Google DeepMind AI tool, to connect scattered findings and generate new leads in aging research.
Filippo Menolascina uses Google DeepMind's Co-Scientist to accelerate discovery of liver disease mechanisms and identify new treatments. The tool helps explain why existing drugs only work in certain patients.
Google DeepMind partners with Boston Children's Hospital and MIT to develop novel RNA-based treatments for ALS by combining biological toolkits and research approaches.
A Stanford geneticist uses Google DeepMind's Co-Scientist to identify existing medicines that could treat liver fibrosis. The AI tool helps discover candidate molecules from approved treatments.
Google DeepMind's WeatherNext AI model improved forecasts for Hurricane Melissa in Jamaica. The model gave National Hurricane Center forecasters additional lead time to warn communities ahead of the historic landfall.
Google DeepMind introduces Co-Scientist, a multi-agent AI partner built with Gemini to accelerate scientific breakthroughs as a collaborative research assistant.
Google DeepMind introduces AlphaEvolve, a Gemini-powered coding agent. The tool applies evolutionary algorithms to solve problems across business, infrastructure, and science.
Google DeepMind explores an AI co-clinician model to augment healthcare delivery. The team develops AI systems designed to assist clinicians in medical practice.
Google DeepMind announces partnership with Republic of Korea to accelerate scientific breakthroughs using frontier AI models. Collaboration aimed at strengthening research and technological innovation.
Google DeepMind introduces Decoupled DiLoCo, a distributed training method that improves resilience and efficiency for large-scale AI model training. The technique decouples local and global updates to reduce latency and network failures.
Google DeepMind partners with global consultancies to deploy frontier AI across organizations. Strategic partnership aimed at accelerating enterprise AI adoption.
Google DeepMind releases Gemini 3.1 Flash TTS, a next-generation audio model with granular audio tags enabling precise control over expressive speech synthesis.
Google DeepMind releases Gemini Robotics-ER 1.6, enhancing spatial reasoning and multi-view understanding for autonomous robotics tasks in real-world environments.
Google DeepMind releases Gemma 4, its most capable open model series to date, purpose-built for advanced reasoning and agentic workflows.
Google DeepMind reimagines the mouse pointer as a context-aware AI assistant. The tool embeds AI collaboration directly in Chrome, removing friction from traditional prompting workflows.
Google DeepMind releases Gemini 3.1 Flash Live, an improved voice model with better precision and lower latency for more fluid, natural and precise voice interactions.
Google DeepMind researches AI's harmful manipulation risks across finance and health sectors, developing new safety measures to protect users.
Google DeepMind launches Lyria 3 Pro, capable of generating longer tracks with structural awareness. The tool integrates into more Google products.
Google DeepMind introduces a framework to measure progress toward AGI and launches a Kaggle hackathon to build relevant evaluations.
Google DeepMind reflects on ten years of AlphaGo's impact, from its Go victory to applications in biology and beyond. The article explores how AlphaGo catalyzes scientific discovery and paves a path toward AGI.
Google DeepMind releases Gemini 3.1 Flash-Lite, the fastest and most cost-efficient model in the Gemini 3 series. Optimized for large-scale inference with reduced latency and minimal costs.
Google DeepMind releases Nano Banana 2, an image generation model combining advanced world knowledge, subject consistency, and Flash-speed performance. Production-ready.
Google DeepMind announces Gemini 3.1 Pro, a model optimized for complex tasks requiring elaborate responses. No benchmarks, performance metrics, or technical specifications provided in the announcement.
Google DeepMind integrates Lyria 3, its most advanced music generation model, into the Gemini app. Users can create 30-second tracks from text or images.
Google DeepMind launches National Partnerships for AI initiative in India to accelerate scientific discovery and education through AI. The program aims to tailor AI tools to local challenges and strengthen research capabilities.
Google DeepMind announces Gemini 3 Deep Think, an update to its specialized reasoning mode designed to tackle modern science, research and engineering challenges.
Google DeepMind introduces Gemini Deep Think, a deep reasoning mode to accelerate mathematical and scientific discovery. Research papers document the growing impact of this capability across multiple fields.
Google DeepMind launches Project Genie, a research prototype enabling Google AI Ultra subscribers in the U.S. to create and explore infinite interactive worlds.
Google DeepMind introduces D4RT, a unified 4D reconstruction and tracking method that accelerates prior approaches up to 300x. The system captures object geometry and motion in videos with improved efficiency.
Google DeepMind releases Veo 3.1, an update to its video generation model with improved consistency, creativity and control. The system now supports vertical video generation.
Google DeepMind releases 2025 year-in-review covering 8 areas of AI research breakthroughs. The article lists major advances without specific details on models, benchmarks, or quantified results.
Google DeepMind announces Gemini 3 Flash, a model delivering frontier intelligence with increased speed and reduced costs compared to previous versions.
Google DeepMind releases Gemma Scope 2, open-source interpretability tools for the entire Gemma 3 family. These resources enable the AI safety community to deeply analyze language model behavior.
Google DeepMind improves Gemini audio models for enhanced voice experiences. New models support better audio understanding and generation with reduced latency and improved voice quality.
Google DeepMind strengthens partnership with UK AI Security Institute (AISI) to deepen research on AI safety and security.
Google DeepMind deepens partnership with UK government to support prosperity and security in the AI era. The agreement aims to develop research and innovation capabilities in AI across the United Kingdom.
Google DeepMind releases FACTS, a benchmark suite for systematically evaluating the factuality of large language models. This standardized tool measures LLM ability to produce accurate and verifiable information.
Google DeepMind researchers use AlphaFold to strengthen a photosynthesis enzyme and develop crops more resilient to heat and climate change.
Google DeepMind's AlphaFold has transformed protein structure prediction over five years. The tool has accelerated biological research globally and generated major discoveries across multiple scientific domains.
AlphaFold revealed the structure of a key protein involved in heart disease. This discovery opens perspectives for developing new treatments.
Google DeepMind partners with the U.S. Department of Energy on Genesis, a national initiative to accelerate scientific innovation through AI. The collaboration aims to deploy AI capabilities to address major energy and scientific challenges.
Google DeepMind integrates AI image verification into the Gemini app. The technology detects AI-generated images and helps users identify synthetic content, enhancing transparency and trust.
Google DeepMind releases Nano Banana Pro, a Gemini 3 Pro image model optimized for fast inference. The model targets applications requiring efficient visual processing.