Google's Co-Scientist Upgrade: AI Controls Real Lab Equipment to Synthesize Materials
新智元 · wechat · 2026-08-31
Google DeepMind and Duke University released a major upgrade to the AI research system Co-Scientist, achieving a closed loop from hypothesis generation to real-world experimental execution. In materials science, AI-designed recipes successfully synthesized novel 2D carbide crystals and single-layer semiconductors (e.g., MoS₂) using lab-specific equipment, exploring non-toxic routes. Validations were also achieved in biology and CS. The system incorporates anti-hallucination and anti-plagiarism mechanisms. This marks a pivotal shift for AI research from computational thinking to physical verification.
More from Research
- Opinion: Do LLMs and Quantum Computing Share the Same "Time" Definition Error? — Cenmaster · 2026-08-31
- Diffusion Models: Two Distinct Lineages Converge — drscotthawley · 2026-08-31
- MIT: AI Agents Spontaneously Specialize and Invent Tech — Malor777 · 2026-08-31
- Nature Framework: Brain as Dynamic Prediction Engine, Not Filing Cabinet — MacrinePhD · 2026-08-31
- Running Qwen3.8-Flash-Next on a 96GB Mac Studio: A Deep Dive — Mxmtm · 2026-08-31
- Efficient Coding Theory Predicts Synaptic Conductance, Explaining Bio Neural Energy Efficiency — jgvfwstone · 2026-08-31