Researchers at IBM, the Cleveland Clinic, and Japan’s RIKEN research institute have used quantum ...

To ensure more food reaches communities in need, a team of researchers collaborated with VolunteerMatch and Feeding America to enhance their algorithms, making volunteer distribution more efficient ...

A new quantum-inspired algorithm is reshaping how scientists approach some of the most complex materials known, enabling ...

A new publication from Bielefeld University sets a benchmark in optimization research. Together with an international team, Professor Michael Römer from the Faculty of Business Administration and ...

Abstract: Betweenness centrality is one of the key centrality measures in many applications including community detections in biological networks, vulnerability detections in communication networks, ...

Dr. Clayton is a mathematician. Candidates for quantitative jobs — like those on Wall Street or in Silicon Valley — are sometimes asked offbeat questions such as: How many Ping-Pong balls fit in a 747 ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used large ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

Abstract: In applied and numerical algebraic geometry, many problems are reduced to computing an approximation to a real algebraic curve. In order to elevate the results of such a computation to the ...