Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

A Neural Engine, specifically Apple’s Neural Engine (ANE), is a specialized hardware component designed to accelerate machine learning tasks on Apple devices. Introduced with the iPhone X and the A11 ...

Forget the "quiet study room," new research suggests that your level of interest is the real secret to focus. Learn how an engaged mind ignores construction noise while boredom triggers stress and ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

LAUSANNE, Switzerland--(BUSINESS WIRE)--Neural Concept, the leading Engineering Intelligence platform that transforms product design with 3D Deep Learning, has announced that it has raised $27 million ...