Scientists and engineers in diverse application domains are increasingly relying on using computational and artificial intelligence (AI) tools to accelerate scientific discovery and engineering design. AI, machine learning, and reasoning algorithms are useful in building models and decision-making towards this goal. We have already seen several success stories of AI in applications such as materials discovery, ecology, wildlife conservation, and molecule design optimization. This workshop aims to bring together researchers from AI and diverse science/engineering communities to achieve the following goals:

1. Identify and understand the challenges in applying AI to specific science and engineering problems.
2. Develop, adapt, and refine AI tools for novel problem settings and challenges.
3. Community-building and education to encourage collaboration between AI researchers and domain area experts.

This year’s theme is AI for Chemistry. We are thankful to have Digital Discovery as our sponsor. Digital Discovery is a new gold open access journal from the Royal Society of Chemistry publishing high quality research on accelerated scientific discovery in chemistry and related sciences. Find out more here.

Our invited speakers and panelists from both AI and Chemistry domains include: