A Mathematician with early access to XAI Grok 4.20, found a new Bellman function for one of the problems he had been working ...

An important aspect in software engineering is the ability to distinguish between premature, unnecessary, and necessary ...

Professional mathematicians have been stunned by the progress amateurs have made in solving long-standing problems with the ...

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

From the UCSB The Current article "Innovative Hardware for Rapidly Solving High-order Optimization Problems" The rise of AI, graphic processing, combinatorial optimization, and other data-intensive ...

Amid sky-high inflation, water and energy cuts and prospects for a deal with the U. S. dimming, President Masoud Pezeshkian has apparently thrown up his hands. By Farnaz Fassihi and Leily Nikounazar ...

Abstract: Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational ...

CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...