Baichuan releases the open Baichuan-M3 medical model
On 13 January 2026 Baichuan released Baichuan-M3, a new-generation open-source medical-enhanced LLM, at a media briefing.
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On 13 January 2026 Baichuan released Baichuan-M3, a new-generation open-source medical-enhanced LLM, at a media briefing.
In August 2025 Baichuan open-sourced Baichuan-M2-32B, its second medical-enhanced model, which it called the world's strongest open-source medical model.
On 24 January 2025 Baichuan released Baichuan-M1-preview and open-sourced Baichuan-M1-14B, a smaller model it described as the first open-source LLM trained from scratch for medicine.
On 25 June 2024 EvolutionaryScale published ESM3, a protein language model trained at large scale, with a paper on the esmGFP generation experiment and an open checkpoint built on 2.78 billion natural protein sequences.
On 8 May 2024, Google DeepMind and Isomorphic Labs announced AlphaFold 3, a model that predicts the structures and interactions of proteins, DNA, RNA and ligands, and that Google reported as the first AI system to outperform physics-based tools for biomolecular structure prediction.
On 29 January 2024 Baichuan released Baichuan 3, a closed model with more than one hundred billion parameters, and reported its own benchmark results against GPT-4.
On 15 July 2021 the Institute for Protein Design released RoseTTAFold as code on GitHub and a public web server, with lead author Minkyung Baek describing structures computable in minutes on a gaming computer.
On September 12, IBM named WellPoint as the first partner building commercial Watson applications, aimed at evidence-based medicine for physicians, with clinical pilots planned for early 2012.
On Feb. 17, 2011, IBM and Nuance Communications announced a research agreement to apply Watson's analytics to health care, days after Watson's televised Jeopardy win.