Communications of the ACM

Teaching AI to Simulate Nature, Faster

Methods for solving partial differential equations have progressed from analytical solutions to numerical simulations and, ...
EurekAlert!

PIANO: a new operator learning framework that deciphers and incorporates invariants from the PDE series via self-supervised learning and attention technique, achieving superior ...

(a). Given the PDE initial fields, PIANO first infers the physical invariant (PI) embedding via the PI encoder, then integrates it into the neural operator to obtain a personalized operator. After ...
CU Boulder News & Events

Seminar - Learning for Autonomy: From Policies to Operators to Distributions - Mar. 10

Abstract: Autonomous systems must learn, adapt, and make decisions in novel, unpredictable environments. However, data-driven approaches often struggle to generalize and can be fragile in such ...
Science Daily

Hidden geometry of learning: Neural networks think alike

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...
Semiconductor Engineering

3D-IC: Operator Learning Framework For Ultra-Fast 3D Chip Thermal Prediction Under Multiple Chip Design Configurations

A new technical paper titled “DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design” was published (preprint) by researchers at UCSB and Cadence. “Thermal issue is a major ...
Quanta Magazine

Researchers Discover a More Flexible Approach to Machine Learning

“Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability. Artificial intelligence researchers have ...