Join this virtual presentation by Dr. David Lazer. This talk will outline various paradigms for empirical research of studying online behaviors of people and platforms, as the field transitions from its reliance on Twitter data to an uncertain future, with a particular focus on the potential for creating an infrastructure utilizing user-sourced data on human and platform behavior.
Discover how GIS helps tell better stories across humanities and social sciences, and by extension, their applications in public policy.
The Digital Twin Lab at Texas A&M Institute of Data Science will host a collaborative workshop on Reduced Order Modeling (ROM), organized in partnership with Texas A&M High Performance Research Computing and the libROM team at Lawrence Livermore National Laboratory (LLNL).
Event Organizer: Suparno Bhattacharyya, Assistant Research Scientist, TAMIDS The TAMIDS Digital Twins Lab is hosting a virtual workshop with a presentation by Dr. Ján Drgoňa, an incoming associate research professor in the Johns Hopkins University Department of Civil and Systems Engineering. His current research is focused on differentiable programming for scientific machine learning, constrained optimization, […]
We introduce DeepSets Operator Networks (DeepOSets), an efficient, non-autoregressive neural network architecture for in-context learning of permutation-invariant operators. DeepOSets combines the operator learning capabilities of Deep Operator Networks (DeepONets) with the set learning capabilities of DeepSets.
Location: Zachry 298 and ZoomMeeting ID: 934 0393 6349Passcode: 869494 We are soliciting proposals to establish new Labs through a competitive grant proposal process! Our Thematic Labs Program supports cutting-edge research in Artificial Intelligence (AI), Machine Learning, and Data Science at Texas A&M University. The program funds research labs for a two-year period, providing seed funding, administrative and […]
