Medra

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   Over $3B floods into 'physical AI' for science as AI drug discovery hits limits

   An article republished by 36Kr from 动脉网 tallies more than $3B in direct and indirect funding over the past year or so into "physical AI" for AI4S — systems that let AI operate instruments and robots in real wet labs. It names Medra, 津渡生科, 术也科技, 合碳智能, 宇道生物, 予路乾行, 深度细胞, Phyraxis AI and Transfyr, alongside NVIDIA's joint lab with Eli Lilly, a Simcere–Schrödinger drug discovery deal and Anthropic's open MHS model-hardware standard with HHMI Janelia. The piece argues AI drug discovery's bottleneck is no longer algorithms or compute but wet-lab data and hardware, with failed-experiment data locked inside companies creating a structural mismatch.

   36氪 人工智能 · 🔥 9

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