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Google DeepMind's next-generation model reads the genome one cell type at a time, nearly doubling the detection of variants that switch genes on or off.

Google DeepMind's AlphaProof Code used teams of AI agents, checked by the Lean proof system, to mathematically prove key security properties of Signal's encryption code in four weeks.

Google DeepMind's new robot model was tested on more than 200 tasks and reached a high success rate in a Mercedes-Benz factory trial.

Google's Project Suncatcher has launched a test satellite carrying AI chips into orbit, marking a concrete step toward space-based data centers that could bypass Earth's power and land constraints.

Google Research has developed a framework called VERID that connects AI agents to physical laboratory robots, enabling closed-loop molecular design cycles. The system combines a digital twin of laboratory equipment with machine learning to run experiments, learn from results, and self-improve.

Google has released Gemini 4 Argon globally for developers and enterprises, offering a frontier AI model that ranks first on benchmarks across finance, coding, legal, and tax work. The model demonstrates substantial gains in engineering productivity, open-source software optimization, 3D visualization, and scientific research at an introductory price of $2 per million input tokens.

Google has released Gemini 4 Argon, a frontier AI model featuring an industry-leading one million token output limit that enables deep, multi-step reasoning across complex professional tasks. The model targets software engineering, legal and financial research, and defensive cybersecurity applications. It is currently rolling out to trusted cyber defenders through Google's Fairwind Program, with broader developer and enterprise access planned after safety testing.