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

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

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

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) ...

Contribute to the progress of engineering and science by solving key industry challenges! Are you looking for a design or research project idea with real industry relevance and societal impact?

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, ...

What if your biggest challenges could become your greatest teachers? Learn five ACT-based ways to work with problems instead ...

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

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

SciMLBenchmarks.jl holds webpages, pdfs, and notebooks showing the benchmarks for the SciML Scientific Machine Learning Software ecosystem, including: Benchmarks of equation solver implementations ...

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