Teaching thermodynamic laws to AI unlocks a polymer modeling challenge

For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials.

Low-cost method uncovers conical intersections that steer light-driven molecular reactions

Conical intersections are crucial molecular switching points in light-driven reactions, but accurately predicting them ...
Communications of the ACM

I Spent a Year Asking AI to Solve Math’s Hardest Problem. Here’s What Happened

P vs. NP asks: are these two classes actually the same? If P = NP, then every “hard” problem is secretly fast to solve; we ...
Smithsonian Magazine

Mathematicians Puzzled Over a Famous Problem for 80 Years. Now, They’ve Used A.I. to Identify a Clever Solution

In 1946, the mathematician Paul Erdős posed the unit distance problem—and suggested a winning strategy. An A.I. model has now ...
IEEE

A Decoupled Head and Multiscale Coordinate Convolution Detection Method for Ship Targets in Optical Remote Sensing Images

Abstract: Intelligent detection and recognition of ship targets is the basis of naval battlefield situational assessment and threat estimation. Its core task is to determine whether there is a ship ...
IEEE

Remaining Useful Life Prediction of Bearings Using Reverse Attention Graph Convolution Network With Residual Convolution Transformer

Abstract: Bearings are key components in mechanical equipment, and remaining useful life (RUL) prediction of bearings is of great significance for stable production in industry. To predict RUL ...