Google DeepMind releases robotics and gene prediction AI models
SiliconANGLE: Google DeepMind releases new advanced robotics AI model and next-generation gene prediction model
Alphabet Inc.’s artificial intelligence research lab, Google DeepMind, Tuesday debuted the next generation of Gemini Robotics, the company’s most capable vision-language-action model to date for creating an “AI brain” for robotics. Separately, DeepMind announced AlphaGenome 2 today, a next-generation AI model that can predict how DNA sequences and their variations affect human cell types, creating […] The post Google DeepMind releases new advanced robotics AI model and next-generation gene
Google DeepMind released two AI models on Tuesday: an advanced robotics model called the next generation of Gemini Robotics designed to help robots operate safely alongside humans, and AlphaGenome 2, a gene prediction model that forecasts how DNA variations affect different cell types. The robotics model was tested across over 200 distinct tasks and achieved a 96% success rate in one real-world test, showing improvements in dexterity, reliability, and speed. AlphaGenome 2 reads 1 megabase of DNA plus target cell state information and can distinguish between closely related cell types, unlike its predecessor which averaged predictions across bulk tissues.
- SiliconANGLE ↗: The robotics model is designed to create an AI brain for robots operating in real-world environments, while the gene prediction model could help researchers identify drug targets and guide biological research without replacing actual experimental validation.
- MarkTechPost ↗: AlphaGenome 2 recovers 30 percent of causal variants at 90 percent precision compared to 16 percent for the previous version, and access is currently available through an API for non-commercial research only.
The robotics model advances AI capabilities for safe human-robot collaboration in real-world settings. The gene prediction model's improved ability to understand cell-type-specific genetic effects could accelerate biological research and drug discovery.
Google DeepMind released two AI models: an advanced robotics model designed to help robots operate safely alongside humans in real-world environments, and a gene prediction model that can forecast how DNA variations affect different cell types. The robotics model was tested across over 200 distinct tasks and showed improvements in dexterity, reliability, and speed compared to its previous version, with one real-world test achieving a 96% success rate. The gene prediction model adds new capabilities for understanding which cells activate different genes, potentially helping researchers identify drug targets and guide biological research without replacing actual experimental validation.
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Gemini Robotics 2.5 accelerates real-world general dexterity
Our most capable vision-language-action model enhances robot dexterity, reliability, and safety
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