Company business, funding and M&A, people, partnerships, lawsuits, regulation and policy, markets and infrastructure.
Together with scientists around the world, our models and tools are helping make disease more detectable, treatable, and preventable. 🧬 From pinpointing rare genetic variants to speeding up drug discovery, here’s how we’re helping turn lab breakthroughs into real-world care → https://t.co/pSGAGqwOSx
What can large-scale AI models bring to the growing complexity of particle physics? @CERN and Mistral join forces to explore this question. The ambition: a single Large Physics Model, trained on billions of simulated collisions.
Sundar Pichai writes, “Good summary of our security and alignment work for Argon 4.” In the quoted post, @ancadianadragan describes work to understand Gemini 4's capabilities and propensities and improve mitigations for its launch, linking a summary at https://blog.google/innovation-and-ai/technology/safety-security/gemini-4-model-safety-security/ and a report at https://storage.googleapis.com/deepmind-media/gemini/gemini_4_safety_report.pdf
Biohub, a nonprofit backed by Mark Zuckerberg and Priscilla Chan, is coordinating an $1.8 billion effort covering data, lab equipment, and compute. The goal is to train AI models that can predict cell behavior and accelerate drug development.
NVIDIA, Google DeepMind, EMBL-EBI, and other organizations have made predicted 3D structures of protein complexes from more than 2,800 viruses freely available to any scientist through the AlphaFold Database.
Why it matters: NVIDIA, Google DeepMind, and collaborators have opened predicted protein-complex structures for more than 2,800 viruses, showing a concrete approach to open science for pandemic preparedness.
Google DeepMind reviews 15 years of game-AI research, from DQN playing 49 Atari games directly from raw pixels through AlphaGo, AlphaZero, MuZero, and AlphaStar, to SIMA 2, a general-purpose agent powered by Gemini.
Google DeepMind and Isomorphic Labs have outlined a joint plan for biological resilience: preventing malicious actors from misusing their models while enabling governments, scientists, and biosecurity experts to use AI in responding to pandemics.
Google DeepMind has launched its first Asia-Pacific accelerator, focused on “AI for the Planet,” for startups, research teams, and nonprofits in the region. The three-month program provides expert guidance and help from Google AI specialists to integrate frontier and AI-for-science models into projects and products in nature, climate, agriculture, energy, and other fields. It begins with an in-person boot camp in Singapore; expressions of interest are now open.
At The Check Up, Google Research announced several healthcare-AI developments. Research with Fitbit found that the Personal Health Agent (PHA), which simulates a collaborative care team, better supports long-term health management than single-purpose applications.
