EurekAlert!

Advanced AI dodel predicts spoken language outcomes in deaf children after cochlear implants

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92% accuracy spoken language outcomes at one-to-three years after cochlear implants (implanted ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Scientific Research Publishing

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
University of Surrey

Two Surrey professors elected IEEE Fellows for 2026

Two leading professors from the University of Surrey’s School of Computer Science and Electronic Engineering have been elected Fellows of the Institute of Electrical and Electronics Engineers (IEEE), ...
PC Gamer

Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins

Like Embark Studios' 2023 shooter The Finals, its new game Arc Raiders, out today, comes bearing an "AI generated content disclosure" on its Steam page. "During the development process, we may use ...
IEEE

Machine Learning Framework for Industrial Machine Sound Classification in Predictive Maintenance

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
IEEE

Audio-Visual Emotion Classification Using Reinforcement Learning-Enhanced Particle Swarm Optimisation

Abstract: The extraction of fine-grained spatial-temporal characteristics for emotion classification is a challenging task owing to the subtlety and ambiguity of emotional expressions through video ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
TWCN Tech News

Convert videos and audio files using PowerShell in Windows 11

Well, PowerShell itself doesn’t come with a feature to allow you to convert your files. Instead, you will need to use third-party popular tools like FFmpeg and HandBrakeCLI. A lot will also depend on ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...