Closing the Gap Between Scientific Foundation Models and Real-World Applications

Description

In the era of GPT models, one gets notoriously confronted with the question of where we stand with applicability of large-scale deep learning models within scientific or engineering domains. The discussion starts by reiterating on recent triumphs in weather and climate modeling. Further, we discuss recent breakthroughs in fluid dynamics and related engineering fields, and subsequently extrapolate insights applicable to relatively untouched scientific and engineering fields. Finally, we outline challenges and potential solutions when it comes to scalability beyond traditional numerical schemes and discuss the respective impact on industry and scientific environments.

Period	03 Mar 2025
Event title	SIAM Conference on Computational Science and Engineering (CSE25)
Event type	Conference
Location	Fort Worth, United StatesShow on map
Degree of Recognition	International