The familiar phenomenon has puzzled researchers for centuries, but experiments are finally making sense of its unruly behaviours.

New benchmark study results show leading AI models, including ChatGPT, Claude, and Gemini, still lag humans in visual math reasoning.

After years of creating highly specialized software, researchers used supercomputer clusters to finally solve the "100,000-body problem.

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Abstract: Recent medical image segmentation methods extract the characteristics of anatomical structures only from the spatial domain, ignoring the distinctive patterns present in the spectral ...

Scientists have solved a long-standing geometry problem by discovering the first compact Bonnet torus pair after over a ...

Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...

Divide any circle’s circumference by its diameter and you get pi. But what, exactly, are its digits? Measuring physical ...

The errors that quantum computers make are holding the technology back. But recent progress in quantum error correction has ...

Abstract: Recently, neural combinatorial optimization (NCO) methods have been prevailing for solving multiobjective combinatorial optimization problems (MOCOPs). Most NCO methods are based on the ...