Important links
Twitter hashtag – #AIChem24
Synopsis
Artificial Intelligence is experiencing a renaissance in the development of new methods and practical applications to ongoing challenges in Chemistry. Following the successes of five annual “Artificial Intelligence in Chemistry” meetings starting in 2018, we are pleased to announce that the Biological & Medicinal Chemistry Sector (BMCS) and Chemical Information & Computer Applications Group (CICAG) of the Royal Society of Chemistry are once again organising a conference to present the current advances in AI and machine learning in Chemistry. The meeting will be held over two days and combine aspects of artificial intelligence and deep machine learning methods to applications in chemistry. The programme will include a mixture of keynote talks, panel discussion, oral presentations, flash presentations, posters and opportunities for open debate, networking and discussion.
This year meeting has changed format to two and half days and will include workshop on first day, please keep checking website for updates.
Who should attend
This meeting will be of interest to scientists of any level of experience from academia and industry.
Scientific Organising Committee
Nathan Brown, Healx
Nessa Carson, AstraZeneca
Samantha Hughes, AstraZeneca
Kim Jelfs, Imperial College London
Garrett M. Morris, University of Oxford (Co-Chair)
Pradip Songara, Rothamsted Research (Treasurer)
Chris Swain, Cambridge MedChem Consulting (Co-Chair)
Twitter hashtag – #AIChem24
Synopsis
Artificial Intelligence is experiencing a renaissance in the development of new methods and practical applications to ongoing challenges in Chemistry. Following the successes of five annual “Artificial Intelligence in Chemistry” meetings starting in 2018, we are pleased to announce that the Biological & Medicinal Chemistry Sector (BMCS) and Chemical Information & Computer Applications Group (CICAG) of the Royal Society of Chemistry are once again organising a conference to present the current advances in AI and machine learning in Chemistry. The meeting will be held over two days and combine aspects of artificial intelligence and deep machine learning methods to applications in chemistry. The programme will include a mixture of keynote talks, panel discussion, oral presentations, flash presentations, posters and opportunities for open debate, networking and discussion.
This year meeting has changed format to two and half days and will include workshop on first day, please keep checking website for updates.
Who should attend
This meeting will be of interest to scientists of any level of experience from academia and industry.
Scientific Organising Committee
Nathan Brown, Healx
Nessa Carson, AstraZeneca
Samantha Hughes, AstraZeneca
Kim Jelfs, Imperial College London
Garrett M. Morris, University of Oxford (Co-Chair)
Pradip Songara, Rothamsted Research (Treasurer)
Chris Swain, Cambridge MedChem Consulting (Co-Chair)
