2 Minute Medicine

Machine learning models effectively screened for Parkinson’s disease using smile videos

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...
IEEE

A Big Data Framework for Scalable and Cross-Dataset Capable Machine Learning in Network Intrusion Detection Systems

Abstract: Network Intrusion Detection Systems (NIDS) are widely used to secure modern networks, but deploying accurate and scalable Machine Learning (ML)-based detection in high-speed environments ...
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 ...

Beamr’s Benchmark Testing Validates ML-Safe Video Data Workflows for Autonomous Vehicles

Testing demonstrates 48% file size reduction with robust ML model accuracy across multiple industry-standard metrics. AV teams are invited to ...
Military.com

Military Implications in the Age of AI

With the AI-integration in most sectors today, the military domain is no exception. We are living in another transformative ...
The New York Times

An A.I. Machine That Passes the Smell Test

A roving installation uses a detailed questionnaire and artificial intelligence to help consumers concoct their own perfumes. By Jane Margolies Ever since making an appointment to create a custom ...
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
IEEE

Dataset Construction Using Item Response Theory for Educational Machine Learning Competitions

Abstract: Machine learning has been integrated into numerous applications and has emerged as one of the most transformative technologies in our daily lives. In recent years, the number of individuals ...
Frontiers

Tunnel water inflow prediction using explainable machine learning and augmented partially missing dataset

Tunnels constitute a prevalent form of underground infrastructure, the construction of which entails a multitude of risks and challenges (Kim J. et al., 2022; Liu et al., 2022). Tunnel water inflow ...
Wired

AI Is Spreading Old Stereotypes to New Languages and Cultures

Margaret Mitchell, an AI ethics researcher at Hugging Face, tells WIRED about a new dataset designed to test AI models for bias in multiple languages. We spoke about a new dataset she helped create to ...
The Verge

Wikipedia is giving AI developers its data to fend off bot scrapers

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset that’s ...