Models & Bio Tools

AI models, datasets, platforms, and research tools for biology, medicine, drug discovery, and biomedical science.

Bio models, tools, datasets, and platforms

Biotech AI models and tools illustration
Google DeepMindPublished

WeatherNext: AI model achieves breakthrough in forecasting cyclones

WeatherNext: AI model achieves breakthrough in forecasting cyclones

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Biotech AI models and tools illustration
Google DeepMindPublished

Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration

Gemini Robotics ER 2 helps robots reason, collaborate, and solve real-world tasks. It represents a step change in video understanding, tool orchestration, and multi-robot collaboration for robotic applications.

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Biotech AI models and tools illustration
Google DeepMindPublished

Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

We’re introducing new Gemini models, including Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber.

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Biotech AI models and tools illustration
Google DeepMindPublished

Introducing Gemini 3.5 Flash Cyber

Google introduces Gemini 3.5 Flash Cyber, a lightweight cybersecurity model to find and patch vulnerabilities.

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Biotech AI models and tools illustration
Google DeepMindPublished

Our approach to bioresilience

Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.

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Biotech AI models and tools illustration
Google DeepMindPublished

Empowering India’s next generation of innovators with ATL Saathi

Google and AIM launched ATL Saathi, a Gemini-powered AI tool empowering Indian educators in robotics labs.

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Biotech AI models and tools illustration
FutureHousePublished

Demonstrating End To End Scientific Discovery With Robin A Multi Agent System

Demonstrating End To End Scientific Discovery With Robin A Multi Agent System

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Biotech AI models and tools illustration
Arc Institute NewsPublished

Proto: A programming language for generative biology

For years, biological research has relied on assembling natural components through trial-and-error or screening thousands of candidates until something worked. While powerful AI models for protein design, RNA engineering, and gene regulation have the potential…

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