Empowering Chemists with AI and ML: Transformative Tools and Techniques

This webinar will give a tailored introduction to the application of artificial intelligence (AI) and machine learning (ML) in the field of chemistry highlighting the use of AI/ML techniques in various fields of chemistry, from drug discovery to materials science. The webinar will highlight the importance of theoretical learning and hands-on practical exercises, with selected code examples in Python, MATLAB and KNIME workflows in an easy-to-follow online Jyputer Notebook type of practicing environment. This webinar is for chemists who have no prior AI/ML or automation experience, and it assumes no prior programming knowledge. The participants will gain insights into the key benefits and challenges of applying AI/ML in chemistry and develop skills to utilize these technologies effectively in their own research or professional endeavors.

Objectives:

• Understand the fundamentals of AI/ML and its tailored application to chemistry.
• Introduction to the diverse applications of AI/ML in different branches of chemistry, such as drug discovery, molecular design, reaction prediction, and spectroscopy analysis.
• Introduction on commonly used AI/ML algorithms and tools commonly used in chemistry research.
• Introduction on implementing AI/ML techniques to solve real-world chemistry problems.
• Introduction on how to develop critical thinking skills to evaluate the potential impact of AI/ML on the future of chemistry research and industry.

Target Audience:

• Graduate students and researchers in chemistry and related fields seeking to enhance their knowledge and skills in AI/ML.
• Professionals working in pharmaceuticals, materials science, chemical engineering, and other industries are interested in leveraging AI/ML for innovation.
• Educators and instructors looking to integrate AI/ML concepts into their chemistry curricula.
• Policy makers and regulators are involved in shaping the future of AI/ML applications in chemistry.

This webinar will be presented by Dr Sourav Chatterjee, University of Bath and will take place at the following time:

3.00 pm    BST – London, Lisbon
4.00 pm    CEST – Paris, Frankfurt
10.00 am   EDT – New York, Boston
7.00 am     PDT – LA, San Francisco

If you are unable to attend the live content, please don’t worry as we will record the session and share the links together with the slides presented afterwards. Attendance certificates will be provided to those attending the live session.