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DeepMind releases free AlphaGenome Atlas covering 9 billion DNA mutation predictions

Google DeepMind has launched AlphaGenome Atlas, a publicly available database that uses its AlphaGenome AI model to predict the likely effects of every possible single-letter mutation across the human genome, covering both protein-coding and regulatory regions. The tool is free for non-commercial research use starting immediately, with a paid licensing option for commercial users, including DeepMind's own drug-discovery affiliate Isomorphic Labs, expected to follow via Google Cloud.

Google DeepMind launches AlphaGenome Atlas mapping all possible DNA mutations

Google DeepMind has released AlphaGenome Atlas, a 1-petabyte database that uses its AlphaGenome AI model to predict the regulatory impact of all roughly 9 billion possible single-letter mutations across the human genome. The Atlas also introduces a scoring system called AVI, which condenses complex coding and non-coding predictions into one number researchers can use to quickly identify which genetic variants deserve closer study.

AI researcher Danijar Hafner builds world models to let robots plan for surprises

Danijar Hafner is developing 'world models' — AI systems that simulate physical reality — and training reinforcement-learning agents inside them so robots can anticipate outcomes before acting in the real world. This model-based approach lets agents rehearse complex tasks virtually, avoiding the costly trial-and-error training typical of conventional robotics. Hafner, a former Google Brain and DeepMind researcher who worked alongside figures like Geoffrey Hinton, is now recognized as a rising talent in AI research.

Google DeepMind releases AlphaGenome Atlas mapping all possible human DNA mutations

Google DeepMind has launched AlphaGenome Atlas, a database that predicts the molecular effects of every one of the roughly nine billion possible single-letter changes across the human genome. The tool is accessible via a web portal, the Antigravity development platform, and the AlphaGenome interface, and comes bundled with a new Variant Impact Score to help researchers prioritize which mutations are most likely to matter.

DeepMind releases free atlas mapping effects of all 9 billion human DNA mutations

Google DeepMind has launched the AlphaGenome Atlas, a free, non-commercial database that uses its AlphaGenome AI model to predict the biological impact of every possible single-letter change across the human genome—about 9 billion mutations in total. The tool also incorporates predictions for over 100 million short insertions and deletions found in human DNA, and is designed to be accessible without requiring users to write code, unlike the original API-based release.

TechCrunch glossary flags 'opaque recurrence' in OpenAI's Astra reasoning model

TechCrunch has published a living glossary of AI terminology aimed at demystifying jargon used across the industry, from AGI to AI agents. The piece highlights 'opaque recurrence,' a reasoning technique reportedly used in OpenAI's new Astra model that has unsettled AI safety researchers, alongside more familiar terms like LLMs, RAG, and RLHF.

Google DeepMind launches WeatherNext 3 with live satellite-fed forecasting

Google DeepMind has released WeatherNext 3, an upgrade to its AI weather model that generates hourly forecasts on a 5-kilometer grid, five times finer than its predecessor. The improvement comes from feeding the model live satellite imagery and sparse weather station readings instead of relying mainly on lagging numerical prediction data.

Google DeepMind Launches WeatherNext 3 AI Forecasting Model

Google DeepMind has released WeatherNext 3, a new AI-driven global weather model that the company says improves precipitation forecast accuracy by up to 50% for predictions made a day or more ahead. The system is positioned as an upgrade over prior AI weather tools and traditional forecasting methods.

Google releases WeatherNext 3, its most accurate AI weather model yet

Google DeepMind and Google Research launched WeatherNext 3, a deep-learning forecasting model that outperformed rival AI systems from Microsoft, Nvidia and ECMWF, as well as traditional forecasts from the US National Weather Service and ECMWF, on the Operational WeatherBench benchmark. Google says the model will soon power weather data shown in Search, Maps and Gemini, and will also be offered to researchers and developers through its cloud platform.

Google launches Gemini 3.8 Flash and clears major antitrust hurdle in ad-exchange case

Google unveiled Gemini 3.8 Flash, its third Flash-tier model release in six weeks, alongside a new cybersecurity model for government and enterprise clients. The launch coincided with a federal judge rejecting the Justice Department's demand that Google divest its ad exchange, and with Berkshire Hathaway's Greg Abel publicly praising Alphabet's AI standing.

Google nears release of Gemini 3.8 Flash focused on coding performance

Google is reportedly preparing to launch Gemini 3.8 Flash imminently, a model DeepMind's internal testing found outperforms Anthropic's Opus on coding tasks. The release would follow Gemini 3.7 Flash, launched just weeks earlier, and comes as Google shelves plans for a separate Gemini 3.5 Pro model, pushing the next Pro-tier release to Gemini 4.0.

Google Relocates AI Safety Team Away From DeepMind Research Lab

Google has moved its AI-responsibility team out of the DeepMind research division as part of an internal reorganization. Researchers within the team have voiced concerns that the shift could compromise their independence and reduce their ability to identify risks in Google's newest AI models.