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 ...
TechAnnouncer

Mastering AI Training Courses: Your Guide to Top Programs in 2026

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...
IEEE

Efficient Group Cosine Convolutional Neural Network for EEG-Based Seizure Identification

Abstract: Epilepsy is a common neurological disease, and its diagnosis usually depends on labor-intensive visual inspection of electroencephalogram (EEG). Although various deep learning-based seizure ...
IEEE

V-DCRNN: Virtual Network-Based Diffusion Convolutional Recurrent Neural Network for Estimating Unobserved Traffic Data

Abstract: Several studies have analyzed traffic patterns using Vehicle Detector (VD) and Global Positioning System (GPS) data. VD records the speed of vehicles passing through detectors, GPS data ...

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

AI helps explain how covert attention works and uncovers new neuron types

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

Graphics Processing Units: From Pixels To Parameters

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...
Modern Engineering Marvels on MSN

How a dropout mastered PhD-level AI with ChatGPT

For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a ...