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.

Abstract: Large-scale optimization problem (LSOP) is an essential research topic in the field of evolutionary computation community. Many large-scale optimization algorithms often maintain a large ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Sometimes the smartest answer isn’t the most technical one. This collection highlights ingenious fixes that cut through ...

The quantum sector is shifting from speculative science to a commercial race, with hardware, software, and investment ...

Abstract: Machine learning (ML) with approximation and numerical simulations plays an important role in aircraft design. ML techniques, such as deep learning and reinforcement learning, are ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

LONDON—President Trump’s crackdown on Chinese imports in the U.S. has redirected a tsunami of cheap stuff into Europe. Some of it is pooled in Xue Er’s backyard. A stay-at-home mom in her 40s who ...

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

Even if the most dire predictions about AI fail to materialize, there’s no doubt that its arrival raises big questions about the purpose of K–12 education. Most existentially: What skills do students ...