Machine Learning in Chemistry – Towards AI

In this summary, Tony Flores discusses the impact of machine learning on the field of chemistry, particularly in drug discovery and materials science. He highlights the effectiveness of machine learning algorithms, such as neural networks, in identifying complex patterns in chemical data. Flores also emphasizes the recent progress in using advanced models like CNNs and RNNs for tasks such as creating new drugs and modeling quantitative structure-activity relationships. This collaboration between machine learning and chemistry is pushing scientific research into new areas and influencing advancements in the field. The full blog can be read for free on Medium.

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