AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we ...

UC Santa Cruz researchers are exploring how brains learn, adapt, and improve, which could help us better understand and address neurological conditions.

Class Disrupted is an education podcast featuring author Michael Horn and Futre’s Diane Tavenner in conversation with educators, school leaders, students and other members of school communities as ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...

Breakthrough optimization results advance fairness and transparency in global competition scheduling ST. LOUIS, MO, ...

A team of researchers at Queen's University has developed a powerful new kind of computing machine that uses light to take on ...

NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...

Abstract: This article investigates a distributed aggregative optimization problem, focusing on formation control within local constraint sets over a multirobot system. Each robot's local objective ...

Quantum optimization holds promise for addressing classically intractable combinatorial problems, yet a standardized framework for benchmarking its performance, particularly in terms of solution ...

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