Meta launches image generation model with coding, search capabilities

Meta Platforms Inc. today debuted an image generation model that can write code and search the web. Muse Image is the second ...
eLife

Neural activity profiles reveal overlapping, intermingled subpopulations spanning area borders in mouse sensorimotor cortex

Single neurons in mouse sensorimotor cortex are organized by their activity features into distinct subpopulations with area-spanning footprints whose boundaries align closely with anatomical and ...
IEEE

Research on the Use of BIM Technology in Green Building Design Based on Neural Network Learning

Abstract: Neural networks have received a lot of attention in recent years. However, neural networks are rarely used in the construction industry, especially for the risk assessment of new projects ...
GitHub

hCNN, Hybrid Neural Network Toolbox

During the recent decade, deep learning technology, particularly deep neural network (DNN), has gained tremendous popularity in various fields including signal processing (SP). As a data-driven ...
IEEE

Sequence Prediction for SiC MOSFET Active Gate Driving With a Recurrent Neural Network

Abstract: This article develops a recurrent neural network (RNN) with an encoder–decoder structure to predict the driving sequence of SiC MOSFET active gate drivers (AGDs). With a set of switching ...
Frontiers

Anti-Sway and Positioning Adaptive Control of a Double-Pendulum Effect Crane System With Neural Network Compensation

Cranes are widely used in the field of construction, logistics, and the manufacturing industry. Cranes that use wire ropes as the main lifting mechanism are deeply troubled by the swaying of heavy ...
Quanta Magazine

Symbolic Mathematics Finally Yields to Neural Networks

More than 70 years ago, researchers at the forefront of artificial intelligence research introduced neural networks as a revolutionary way to think about how the brain works. In the human brain, ...