Perspectives on AI/ML in Chemistry from Academia and Industry

• Sponsored by Science of Synthesis/Thieme Publishers
• 6:00-8:00am, Online via Zoom, Free, Registration required

The growing importance of machine learning (ML) and artificial intelligence (AI) extends to chemical research. The need for computational access to and reuse of research data for the prediction of chemical products and retrosynthetic routes is increasing rapidly. In this Thieme WebCheminar, chaired by Dr. Guido Koch (Amphilix, Switzerland), our speakers will talk about challenges for researchers in accessing data, tangible benefits for practicing chemists in predicting synthetic routes and the mind shift required for the application of new digital technologies for the discovery of new active ingredients in the industry.

Our speakers:

• “Boosting the Adoption of AI Models for Chemical Reactivity” – Dr. Alain Vaucher (IBM Research Europe, Switzerland)
• “Computational Access and Reuse of Curated Data in Chemistry“ – Dr. Ye Li (MIT Libraries, USA)
• “Design-Synthesis-Test-Analysis process in the Digital Era” – Dr. Marco Stenta (Syngenta, Switzerland)

This Thieme WebCheminar is of particular interest to chemists in industry and academia with a focus on text- and data mining, machine learning and artificial intelligence. Sign up now to save your spot!

Related press releases:

• Thieme Chemistry deposits nearly 700,000 distinct chemical structures into PubChem (January 7, 2019)
• New partnership between IBM Research Europe and Thieme Chemistry (July 29, 2021)
• IBM RXN for Chemistry/IBM Research Europe, Science of Synthesis and Synfacts/Thieme Chemistry (November 22, 2021)