Abstract: Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and ...

Abstract: Solid oxide fuel cell (SOFC) is recognized as piv otal technological component in the utilization of hydrogen energy, drawing extensive interest due to their high efficiency, low emissions, ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

The automation waves of the past rewarded companies with the best systems, not the most robots, and AI will be no different.

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

A math whiz as a young man, he later blazed trails, both with his theoretical advances and his advocacy for minority students ...

This repository is by Priya L. Donti, David Rolnick, and J. Zico Kolter and contains the PyTorch source code to reproduce the experiments in our paper "DC3: A learning method for optimization with ...

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