AZoRobotics on MSN

AI stethoscope detects severe heart disease better than GPs

This AI system identifies clinically significant valvular heart disease from stethoscope recordings, achieving near-clinical ...
Frontiers

Multi-modal Learning with Large-scale Models

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, touch, and proprioception. Large-scale neural network models have ...
The New York Times

Brighton may use January transfer ‘solution’ after Stefanos Tzimas ACL injury – Fabian Hurzeler

Stefanos Tzimas is out for the remainder of 2025-26 with an ACL injury Jon Hobley/MI News/NurPhoto via Getty Images Brighton & Hove Albion’s January window plans could be affected by the absence of ...
IEEE

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

Innovative ground-breaking data-driven and machine learning (ML) based solutions are currently revolutionizing the civil engineering field. Regarding the structural health monitoring (SHM) area, they ...
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

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 ...