A new study published in Nature Communications has shown that in the asymptotic limit, extracting the maximum possible work ...
Abstract: The current study investigates the use of Particle Swarm Optimization (PSO) for determining optimal parameters of the PID in the Field-Oriented Control (FOC) of a Dual-Star Linear Induction ...
A Comparative Study on Nature-Inspired Algorithms Finding Optimal Policies in Reinforcement Learning
Abstract: Reinforcement Learning (RL) is a powerful machine learning paradigm in which agents learn to maximize cumulative rewards by interacting with an environment to derive optimal policies. A key ...
Investigators are developing an artificial intelligence-powered algorithm utilizing retrospective data from 1000 patients to ...
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