Artificial Intelligence in Chemistry

Artificial Intelligence in Chemistry: Opportunities, Trends, and Challenges

The adoption of artificial intelligence (AI) and machine learning has grown exponentially, and the chemistry field is not immune to this emerging trend. This webinar, "Artificial Intelligence in Chemistry: Opportunities, Trends, and Challenges," explores the landscape of AI and chemistry using CAS technologies to map publication and patent trends.

AI's exceptional data processing capabilities offer significant potential benefits across scientific fields. It plays a crucial role in developing molecule property predictions, reaction predictions, and retrosynthesis. 

Join us as we share insights on the chemistry disciplines already adopting AI and the problems researchers are attempting to solve with this technology. You will also learn the distribution of substances in AI literature, how AI is supporting collaboration across disciplines, common challenges to AI implementation, and key success strategies.


What you will learn

  • The current landscape of AI technology across chemistry disciplines
  • Challenges of implementing AI and tips for success
  • The potential of AI adoption in various chemistry fields



Written By

Jacob Al-Saleem

Senior Scientific Content Engineer

As a Senior Scientific Content Engineer at CAS, Jacob Al-Saleem develops bioinformatic solutions using machine learning, deep learning, and natural language programming to extract and connect scientific knowledge from text. Prior to joining CAS, he earned his B.S. in Molecular Genetics and Ph.D. in Molecular Cellular and Developmental Biology from The Ohio State University. His Ph.D. studies were focused on the molecular virology of Human T cell Leukemia Viruses (HTLV).