Advancing Computational Life Sciences, Chemistry & Geosciences

Recent advances in Artificial Intelligence (AI) are transforming the landscape of scientific discovery, enabling breakthroughs across various scales and disciplines. This workshop explores recent advances in AI for chemistry, biomedical sciences, and geosciences. It provides a forum for researchers, students, and practitioners to discuss challenges and opportunities regarding emerging methodologies, applications, and open research data.

Special attention will be devoted to the unique challenges posed by the nature of scientific objects of interest—whether discrete, such as proteins and chemical compounds, or continuous, such as gene expression profiles or space-time signals encountered notably in biology and environmental sciences.

Participants will gain insights into how AI approaches are employed as a convenient surrogate to produce quick predictions of complex systems responses, but also are employed to automate data analysis, accelerate hypothesis generation, and enhance modeling and simulation frameworks in support of scientific discovery.

The workshop will review how these challenges require the development and the integration of novel tools from different areas of mathematical sciences and machine learning. In turn, discussions will address how to increase access to high-quality, well-governed, and unbiased datasets to support the development of robust AI models. 

Full details: https://www.newton.ac.uk/event/rclw05/

Please check actual event timings on the event website