A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, ...

We propose an optimization method obtained by the approximation of a novel discretization approach for gradient dynamics recently proposed by the authors. It is shown that the proposed algorithm ...

Such introductory courses typically cover multiple branches of AI, such as the fundamentals of AI, machine learning, neural ...

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

Deep reinforcement learning (DRL) typically requires reinitializing training for new tasks, limiting its generalization due to isolated knowledge transfer. Meta-reinforcement learning (Meta-RL) ...