Researchers make “neuromorphic” artificial skin for robots

The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...
Scientific Research Publishing

Organoid Intelligence: Bridging the Gap Between Biological and Artificial Neural Networks ()

Organoid Intelligence (OI) represents a groundbreaking convergence of biology and technology, aiming to redefine biocomputing using brain organoids—three-dimensional neural structures derived from ...
IEEE

Deep Spiking Neural Network with Adaptive Temporal Feature Fusion for Energy-efficient Event-based Person Re-Identification

Video surveillance is widely used in various public spaces, and person re-identification (ReId) based on video frames has become a research hotspot in the field of computer vision. However, most video ...
TMCnet

MicroCloud Hologram Inc. Develops Quantum-Enhanced Deep Convolutional Neural Network Image 3D Reconstruction Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...
Scientific Research Publishing

A Brief Discussion on the Theory and Application of Artificial Intelligence in Medical Diagnostics ()

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
THE WEEK

Why scientists are attempting nuclear fusion

About 60 years ago, Russian physicist Lev Artsimovich said nuclear fusion “will be ready when society needs it”. The UK has achieved a “major breakthrough for fusion energy research”, the UK Atomic ...
Frontiers

GTAT-GRN: a graph topology-aware attention method with multi-source feature fusion for gene regulatory network inference

Gene regulatory network (GRN) inference is a central task in systems biology. However, due to the noisy nature of gene expression data and the diversity of regulatory structures, accurate GRN ...
Frontiers

TFANet: a temporal fusion attention neural network for motor imagery decoding

Introduction: In the field of brain-computer interfaces (BCI), motor imagery (MI) classification is a critically important task, with the primary objective of decoding an individual's MI intentions ...
IEEE

Temporal-spectral-spatial multidimensional feature fusion based heterogeneous graph adaptive neural network for sleep stage classification

Abstract: Sleep stage classification is essential for diagnosing sleep disorders and assessing sleep quality. However, achieving accurate classification remains a challenge because of the ...
Phys.org

Common feature between forest fires and neural networks reveals universal framework

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale ...