IEEE

Research and Application of Lightweight Technology of Convolutional Neural Networks in Deep Learning

Abstract: This article summarizes the convolution in the deep learning of the neural network lightweight technology, including the background, technical comparison, classification, experimental design ...

Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

AI uncovers double-strangeness: A new double-Lambda hypernucleus

Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and ...
IEEE

Deep Reinforcement Learning with Graph Neural Networks: An Indepth Analysis of Algorithms and Applications

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...
GitHub

Radiation-Tolerant Machine Learning Framework

Space-Radiation-Tolerant is a research project by Rishab Nuguru with core principles focused around sustainability in space. RadML was designed to help provide cost efficient solution for COTS ...