eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
News-Medical.Net

AI uncovers hidden mechanisms of covert attention and emergent neuron types

Shifting focus on a visual scene without moving our eyes - think driving, or reading a room for the reaction to your joke - ...
IEEE

Supervised Convolutional Encoder-Decoder With Gated Linear Units for Detecting Fetal R-Peaks

Abstract: Noninvasive fetal electrocardiography (ECG) is prevalently used for monitoring fetal heartbeats during pregnancy due to its affordability, ease of use, and constant monitoring capability. A ...
IEEE

PPG-Based Accurate Insomnia Detection System Using Convolutional Neural Networks With Self-Attention Mechanism and Gated Recurrent Units

Abstract: Adequate sleep is essential for physical and mental well-being. The quality of sleep is significantly impacted by sleep disorders like narcolepsy, sleep apnea, nocturnal frontal lobe ...
insideHPC

Kneron Launches Neural Processing Unit for AI

San Diego, Nov. 24, 2025 – Kneron, a San Diego-based company developing neural processing units (NPUs) for AI, today announced its KL1140 chip. It is built to bring LLMs to edge devices, delivering up ...