Conveners
Lightning talk I: AI/ML for data-driven discovery
- Joshua Agar
- Shih-Chieh Hsu (University of Washington Seattle (US))
Abstract: Large pre-trained language models (LLMs) have been shown to have significant potential in few-shot learning across various fields, even with minimal training data. However, their ability to generalize to unseen tasks in more complex fields, such as biology, has yet to be fully evaluated. LLMs can offer a promising alternative approach for biological inference, particularly in cases...
In this short talk I will discuss our recent work on an approach to introducing connections between the Fokker-Planck equation and learning algorithms for dynamical systems that follow Markov Decision Processes
There is an increasing consensus in the wider scientific community that AI is poised to disrupt science by unlocking entirely new approaches, driving new scientific inquiry, and enabling greater scientific leaps with far-reaching societal consequences. In addition, challenges unique to scientific problems offer an opportunity to dramatically advance AI. However, there are substantial barriers...
