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To: CNI-ANNOUNCE
Date: Wed, 20 Dec 2023 21:00:30 -0500
Message-ID: <redirect-41507244@cni.org>
From: Cliff Lynch <cliff@cni.org>
Subject: Carnegie Mellon "Coscientist" - AI Driven Chemical Research
 Assistant
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There is a very interesting paper that appeared in Nature this week titled "Autonomous Chemical Research with Large Language Models" which describes a system developed at Carnegie Mellon University that plans and executes sophisticated chemistry experiments, using robotic Cloud Lab facilities. There are a number of interesting aspects to this work, and it's a great example of how Cloud Lab technologies, large language models and other technologies are changing the nature of research. Also of note are the information discovery aspects of the system. Well worth reading. 

NSF coverage of the work

https://new.nsf.gov/science-matters/meet-coscientist-your-ai-lab-partner

CMU coverage of the work, including link to a video  (my thanks to Keith Webster for this pointer)

https://www.cmu.edu/news/stories/archives/2023/december/cmu-designed-artificially-intelligent-coscientist-automates-scientific-discovery

December 20, 2023 Nature Paper (open access)

https://www.nature.com/articles/s41586-023-06792-0


Clifford Lynch
Director, CNI