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On November 12, the Ó³»­´«Ã½ welcomed a visit from Ryan Adams, Harvard School of Engineering and Applied Sciences professor, group leader of Harvard Intelligent Probabilistic Systems and head of research at Twitter Cortex.

In his Ó³»­´«Ã½ colloquium entitled Machine Learning and the Life Sciences: Beyond Data Analysis, Adams first described ongoing work to automate the design of organic molecules, DNA sequences, and biomimetic robots by closing the loop on data generation and analysis. Adams then described how important classes of machine learning algorithms can be implemented directly with chemical reaction networks of biomolecules.