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

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development of computational models inspired by the brain's layered organization, also ...

Ixana's Wi-R network could be a way to help smart glasses stream more reliably to a wide range of connected wearables, and after seeing a few demos, I'm eager to learn more.

WiMi Hologram Cloud Inc. (NASDAQ:WIMI) stock surged 11.3% on Monday after the company announced the launch of its independently developed Quantum Convolutional Neural Network for Multi-Channel ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

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

The new all-flash device combines workstation performance, on-device AI, and power independence to replace the laptop in professional field ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...

The increasing demand for sustainable materials has highlighted the importance of biocomposites; however, their computational analysis is challenging due to the high cost associated with traditional ...

Introduction: Electroencephalography (EEG)-based mental stress detection has the potential to be applied in diverse real-world scenarios, including workplace safety, mental health monitoring, and ...