By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...
They are effectively wagering that addressing specific optimization challenges today holds more value than the promise of ...
D-Wave Quantum Inc., a commercial supplier of quantum computing hardware and software, today announced an agreement to ...
A team of researchers at the University of Waterloo have made a breakthrough in quantum computing that elegantly bypasses the ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In October 2024, news broke that Facebook parent company Meta had cracked an "impossible" problem ...
College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...
Beck, A. (2017) First-Order Methods in Optimization. Society for Industrial and Applied Mathematics.
ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...
Abstract: Recently, neural combinatorial optimization (NCO) methods have been prevailing for solving multiobjective combinatorial optimization problems (MOCOPs). Most NCO methods are based on the ...
Forbes contributors publish independent expert analyses and insights. Kiri Masters covers trends in retail media and marketplaces. While generative AI has dominated headlines with flashy consumer ...
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