Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Spinal cord injuries caused by external trauma, such as traffic accidents or falls, often lead to the permanent loss of motor and sensory functions. This is because the spinal cord-the central pathway ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation In forecasting economic time series, statistical models often need to be complemented with a process to impose various ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Nvidia on Monday unveiled a set of new world AI models, libraries, and other infrastructure for robotics developers, most notable of which is Cosmos Reason, a 7-billion-parameter “reasoning” vision ...

The study investigates using 3D neural organoids made from human pluripotent stem cells (hPSCs) to assess neurotoxicity and neural function. Organoids were imaged to measure spontaneous calcium ...

Nintendo has released a wave of patches for many of its biggest Switch games, ahead of Switch 2's arrival. These free updates are now available to download, and include a fresh version of Super Mario ...

Abstract: This paper introduces an innovative approach utilizing a deep neural network (DNN) to optimize the modulation scheme for time-modulated antenna array (TMAA) to verify specific side lobe and ...

Background and objectives: This paper introduces a novel lightweight MM-3DUNet (Multi-task Mobile 3D UNet) network designed for efficient and accurate segmentation of breast cancer tumors masses from ...