Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

The highly anticipated CES 2026 did not fail to stir the tech community, as NVIDIA unveiled groundbreaking advancements in the ...

Abstract: Obtaining real-time and accurate estimates of tire-road friction coefficient (TRFC) and sideslip angle is crucial for effectively implementing active safety control algorithms in vehicles.

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

Scientists have developed a floating PV digital twin system, trained on data from 155 physical experiments, using a two-tier artificial neural network (ANN) with a high-fidelity model and a ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

AI supercomputer network performance has become a blocker to training larger AI models. Analytically modeling such networks is virtually impossible, and the cost and time of building prototypes is ...

Abstract: This letter introduces a joint metaheuristics and deep learning (DL) approach for beamforming (BF) in sixth-generation (6G) advanced antenna systems. Specifically, the bat algorithm (BA) is ...