WebCheminar: Perspectives on AI/ML in Chemistry from Academia and Industry
Start Date | 08.03.2023 - 15:00 |
Event End | 08.03.2023 - 17:00 |
Location | Online Conference |
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:
- Dr. Alain Vaucher (IBM Research Europe, Switzerland)
«Boosting the Adoption of AI Models for Chemical Reactivity» - Dr. Ye Li (MIT Libraries, USA)
«Computational Access and Reuse of Curated Data in Chemistry» - Dr. Marco Stenta (Syngenta, Switzerland)
«Design-Synthesis-Test-Analysis process in the Digital Era»
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!