Thieme WebCheminar #13: Perspectives on AI/ML in Chemistry from Academia and Industry скачать в хорошем качестве

Thieme WebCheminar #13: Perspectives on AI/ML in Chemistry from Academia and Industry

#aiinchemistry #artificialintelligenceinscience #machinelearning 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 discovery of new active ingredients in 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) About the Thieme WebCheminar series: Thieme brings the chemistry experts virtually to your home! Throughout the year, we'll host Thieme WebCheminars – a series of mini-symposia on selected topics in organic chemistry. Each Thieme WebCheminar will be themed around research topics featured in Thieme Chemistry journals SYNTHESIS, SYNLETT, SYNFACTS, SynOpen, Organic Materials, and the reference work Science of Synthesis. Are you interested in our upcoming Thieme WebCheminars this year? Stay updated by signing up to our newsletter: https://bit.ly/Thieme-NL Or follow us on Twitter: https://bit.ly/thiemechemistry-twitter Learn more about Thieme Chemistry: https://www.thieme-chemistry.com