AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we can't verify them. How will we know if they're right?
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
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 ...
Concrete sidewalks are essential for pedestrian safety, but over time, they can develop cracks, uneven surfaces, and other forms of deterioration. Proper maintenance ensures long-lasting durability ...
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 ...
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