MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring ...

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

This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.

Neural Concept is helping launch products at 2X the speed. It does this by capturing past knowledge into AI-based ...

Researchers report building photonic computing chips that use light pulses to train spiking neural networks on robotic-control-style benchmark tasks, aiming to shift more of the learning workload from ...

The field of systems neuroscience increasingly seeks to understand how distributed neural populations interact to support complex cognitive functions such ...

An electronic nose modeled on insect antennae simultaneously identifies gas mixtures and pinpoints their three-dimensional origin by decoding the natural dynamics of odor plumes.

Researchers challenge the "efficiency" theory of the brain, showing that neurons become more coordinated and share more information as learning occurs.

Researchers found that astrocytes in the amygdala actively encode, maintain, and extinguish fear memories. Altering their activity changed fear responses and neural signaling.

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

The trial-to-trial variability of neuronal responses and the correlated response variability among neurons are modulated by visual stimulus size in a manner that depends on cortical layer, suggesting ...