Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

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 ...

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

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

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 ...

Abstract: For various daunting physical world structural optimization design problems, a novel multi-objective water strider algorithm (MOWSA) is proposed, and its non-dominated sorting (NDS) ...

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The result is correct but challenges core norms of mathematics: checking proofs, crediting ideas and keeping research open to everyone.

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