Professional mathematicians have been stunned by the progress amateurs have made in solving long-standing problems with the ...
Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...
Math anxiety grows from stress, culture, and experience, not ability. By changing how we teach, test, and talk about math, we ...
“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they struggle,” Somani said. The surprise was that, using the latest model, the ...
Does string theory—the controversial “theory of everything” from physics—tell us anything about consciousness and the human ...
Math teacher Emma Chiappetta uses a three-round exercise to help students not only recognize their errors, but also generate ...
At Floating Fleet AI, Norbert will play a key role in advancing the company’s optimization capabilities and working directly with customers whose operational challenges extend beyond what ...
GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...
Abstract: This article proposes a constrained evolutionary Bayesian optimization (CEBO) algorithm to cope with expensive constrained optimization problems with inequality constraints. The uniqueness ...
For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...
Abstract: In this article, we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems ...
A team of researchers at the University of Waterloo have made a breakthrough in quantum computing that elegantly bypasses the ...
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