Applications of Artificial Intelligence to Process Chemistry
Short Course
Course overview
Course tutors
Course timings
Details
This short course will focus on how applications of artificial intelligence (large language models, computer vision, and intelligent robotics) are assisting in solving process chemistry challenges. Multiple use-cases will be presented, along with an overview of emerging techniques. The focus is on the chemistry applications rather than the details of how the models work, although some foundational concepts will be briefly covered.
Benefits
Course Outline
- Large Language Models
- Expert systems and agents
- Computer vision
- Intelligent robotics
Who Should Attend
The target audience is generalist chemists who want to learn more about this emerging field. No experience in coding, artificial intelligence or machine learning is assumed.
Attendees should note that topics such as computer aided retrosynthesis, Bayesian optimisation, and classical application of machine learning to predict reaction selectivity and yield are covered the “Applications of Machine Learning to Process Chemistry” short course.
Benefits of attending
This course will provide attendees with an overview of how and why artificial intelligence has the potential to transform and accelerate workflows in process chemistry. A select set of case studies will be presented to illustrate state of the art applications. Strengths, weaknesses and gaps in the tools will be highlighted. Basic concepts of how AI differs from conventional automation will be explained, and a curated list of references will provided for those who want to dig deeper into how the AI tools work. At the end of the course generalist chemists will be more able to read and comprehend the rapidly increasing body of literature being produced on AI applications to process chemistry, and hopefully they will be inspired to try some of the technologies themselves.
