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 ...

From LLMs to hallucinations, here’s a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
Morning Overview on MSN

AI foundation models trained on DNA could speed up plant research

A wave of AI foundation models built on plant DNA sequences is giving researchers new tools to annotate genomes, predict gene function, and measure crop traits faster than traditional methods allow.
Runner's World

I Used to Overthink Heart Rate Training, Then I Figured Out My Training Zones Using This Formula.

You can approach heart rate training in a few ways, and each method has its own set of variables. It can seem like a complicated process. That’s why whenever heart rate training entered the chat, I ...
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 ...