Morning Overview on MSN

ChatGPT can speed learning but may weaken long-term retention

A growing body of experimental research suggests that using ChatGPT can boost short-term performance on some tasks, but may ...
Rediff.com

Quantum-Enhanced AI System Translates Brain Signals into Wheelchair Movement

Researchers at Birla Institute of Technology-Mesra have developed a brain-computer interface (BCI) system that translates ...
The New York Times

How Candidates Are Using Winks and Posts to Seek Crypto and A.I. Cash

Across America, congressional candidates are finding creative — and critics say cynical — ways to signal support for two deep-pocketed industries: A.I. and crypto. In Illinois, Jesse Jackson Jr., a ...
Frontiers

Editorial: Deep learning for high-dimensional sense, non-linear signal processing and intelligent diagnosis, vol II

Psychiatry stands at a pivotal turning point shaped by rapid technological advances and pressing clinical demands (1). Mental health disorders, defined by multifaceted etiologies and heterogeneous ...
Cosmopolitan

Prince William Caught on Camera Using Secret Signal to Tell Kate Middleton to “Hurry Up”

A cute video of Prince William rubbing Kate Middleton's back was potentially a secret signal for her to hurry up. The royals have been known to use secret signals in public. Prince William was ...
Fox News

IG: Hegseth broke Pentagon rules using Signal to share strike details, though no classified info was released

A Pentagon inspector general report concluded that Secretary of War Pete Hegseth sent sensitive, nonpublic strike information over the encrypted app Signal using his personal phone, a violation of ...
Rochester Institute of Technology

Study details how analog computing solves signal processing challenges faster

Researchers at RIT have improved the electronics used in communication and radar systems to better process signals using electromagnetic radio waves. This breakthrough could advance computing ...
News Medical

New AI models detect dementia with high accuracy using EEG signals

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...
EurekAlert!

Topology-aware deep learning model enhances EEG-based motor imagery decoding

Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...
IEEE

NeuroFormer: A Deep Learning Framework for Alzheimer's Detection Using EEG Signals

Abstract: Alzheimer's disease (AD), is a prevalent neurodegenerative disorder, characterized by cognitive decline. Alongside AD, and Frontotemporal dementia (FTD) poses significant challenges in ...
GitHub

Self-Learning-VAE-for-EEG-Artifact-Removal

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...