My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...
AI leaders clash over AGI, with Hassabis calling the brain an approximate Turing machine, helping you grasp real design goals ...
SuperQ Quantum Computing Inc. (CSE: QBTQ) (OTCQB: QBTQ) (FSE: 25X) ("SuperQ Quantum", "SuperQ", or the "Company") is pleased ...
Steven Nickolas is a writer and has 10+ years of experience working as a consultant to retail and institutional investors. Thomas J. Brock is a CFA and CPA with more than 20 years of experience in ...
Abstract: Fast optimization of arbitrary-shaped antennas is enabled by a neural network model, trained by a method of moments (MoM) framework capable of evaluating large sets of pixel-based antenna ...
Abstract: Leveraging quantum computers for optimization problems holds promise across various application domains. Nevertheless, utilizing respective quantum computing solvers requires describing the ...
End-to-end system for accelerating the Linear Assignment Problem (LAP) by integrating learned dual potentials with a custom seeded Jonker-Volgenant (JV) solver. The primary pipeline employs a ...
300+ open source evolutionary algorithms 500+ open source benchmark problems Powerful GUI for performing experiments in parallel Generating results in the format of Excel or LaTeX table by one-click ...
Instituto de Ingeniería Química − Facultad de Ingeniería, Universidad Nacional de San Juan Grupo Vinculado al PROBIEN (CONICET-UNCo), San Juan J5400, Argentina ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback