Puzzles and games can reveal gaps in models’ smarts. Try your hand at these seven tests to see if you can outwit AI.

Complex mathematical problems, such as combinatorial optimization problems, have wide-ranging industrial applications and require extensive computational resources to solve. Slime molds represent a ...

Self-optimization is pervasive in modern life. And why not? Who, after all, doesn't want to become better? Live more ...

As AI agents become more autonomous, keeping them aligned with what humans want will require layered oversight and effective ...

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 ...

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One idle evening last October, Mehtaab Sawhney took up an old pastime. He began perusing the website erdosproblems.com, an updated record of the 1,179 conjectures left behind by the eccentric and ...

This work proposes a framework for global optimization, showing that global optimization is equivalent to optimal strategy formation in a two-armed decision problem with known distributions, based on ...

Each year when MD+DI editors sit down to discuss Medtech Company of the Year prospects, the companies that rise to the top for us tend to be those that have had a transformational year either through ...

Abstract: This article addresses the multiobjective optimization problem (MOP) of guaranteed cost control (GCC) for semi-Markov jump systems (s-MJSs) under a network environment. To address the ...