Light may outshine quantum for some of computing's toughest optimization problems

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...

Leading AI models struggle to solve original math problems

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...
IEEE

A Two-Stage Hybrid Search Evolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problems

Abstract: Expensive constrained multi-objective optimization problems (ECMOPs) are prevalent in engineering practice and are characterized by extremely high evaluation costs for both objective and ...

When you do the math, humans still rule

Artificial intelligence has attained an impressive series of feats—solving problems from the International Math Olympiad, ...

These Mathematicians Are Putting A.I. to the Test

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...
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Achieving >97% on GSM8K: Deeply understanding the problems makes LLMs better solvers for math word problems

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.
IEEE

Leveraging Transfer Learning in Deep Reinforcement Learning for Solving Combinatorial Optimization Problems Under Uncertainty

Abstract: In recent years, addressing the inherent uncertainties within Combinatorial Optimization Problems (COPs) reveals the limitations of traditional optimization methods. Although these methods ...