Morning Overview on MSN

17-year-old builds AI tool to speed malaria and blood-disease diagnosis

Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...
EurekAlert!

New transfer-learning model could improve real-world EV charging duration prediction

Researchers have proposed a SENet-CNN-Transformer model for predicting electric vehicle charging duration, aiming to improve ...
Sports Illustrated

Michigan Transfer Portal Tracker: Additions, Departures & Updated Roster for 2026-27

Michigan was crowned the champion of college basketball on Monday night after the Wolverines defeated UConn, 69-63. It was Michigan's first national title since 1989 and the second one in the ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
Frontiers

Pre-training, personalization, and self-calibration: all a neural network-based myoelectric decoder needs

Myoelectric control systems translate electromyographic signals (EMG) from muscles into movement intentions, allowing control over various interfaces, such as prosthetics, wearable devices, and ...
IEEE

Transfer learning strategies comparisons of pre-trained neural model for tunnel flaws detection

Abstract: Innovative ground-breaking data-driven and machine learning (ML) based solutions are currently revolutionizing the civil engineering field. Regarding the structural health monitoring (SHM) ...
C&EN

Transfer-Learning Deep Raman Models Using Semiempirical Quantum Chemistry

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Biophotonic technologies such as Raman spectroscopy are powerful tools for obtaining ...
IEEE

Network Data Based Transfer Learning Failure Prediction Agent Pre-Trained Using Digital Twin

Abstract: This paper describes the use of Transfer Learning (TL) using experimental data and a Machine Learning (ML) model pre-trained with a Digital Twin (DT) for the prediction of amplifier failures ...