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Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
IEEE

Graph Neural Network for In-Network Placement of Real-Time Metaverse Tasks in Next-Generation Networks

Abstract: Delivering realistic, real-time virtual experiences in the Metaverse demands computationally intensive rendering tasks with strict latency constraints. These challenges are further ...
IEEE

Bayesian Meta Random Graph Implicit Enhanced Network for Lithium-Ion Batteries Remaining Useful Life Prediction With Few-Shot and Uncertainty Interference

Abstract: Accurately predicting and evaluating the remaining useful life (RUL) of lithium-ion batteries (LIBs) is of great significance to develop a maintenance program for replacing batteries ...
C&EN

PSCG-Net: A Multiscale Crystal Graph Neural Network for Accelerated Materials Discovery

AI for Science Institute (CUAISci), Cornell University, Ithaca, New York 14853, United States Systems Engineering, College of Engineering, Cornell University, Ithaca, New York 14853, United States AI ...
C&EN

A Multi-Stage Graph Neural Network–Physics-Informed Neural Network (GNN–PINN) Framework for Thermodynamic Property Prediction

Department of Chemistry and Chemical Engineering, Education and Research Center for Smart Energy and Materials, Inha University, Incheon 22212, Republic of Korea ...
eLife

Online reinforcement learning of state representation in recurrent network supported by the power of random feedback and biological constraints

In this important study, the authors model reinforcement-learning experiments using a recurrent neural network. The work examines if the detailed credit assignment necessary for back-propagation ...