Abstract: Vision Transformer (ViT) is an image recognition model that uses transformer architecture, which has a numerous advantage over Convolution Neural Networks (CNN). It offers improved accuracy, ...
New automated system speeds up breeding pest-resistant crops. It uses a robotic microscope & computer vision to count spider ...
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 ...
At its best, work can be energizing, creative, and meaningful. It can also be emotionally exhausting and stressful. Even in healthy organizations, we all deal with interpersonal tension, stinging ...
For decades, the retail industry has faced the same persistent problems of empty shelves, pricing errors and inventory discrepancies. Despite having spent billions of dollars on data analytics and ...
Introduction: Electroencephalography (EEG)-based mental stress detection has the potential to be applied in diverse real-world scenarios, including workplace safety, mental health monitoring, and ...
California-based Cognixion is launching a clinical trial to allow paralyzed patients with speech disorders the ability to communicate without an invasive brain implant. Cognixion is one of several ...
Mike Kadlick is a contributor to the Breaking and Trending News team at Sports Illustrated. Before joining SI in November 2024, he covered the New England Patriots for WEEI sports radio in Boston and ...
Abstract: Student engagement detection is receiving increasing attention due to its crucial role in influencing academic performance and learning outcomes. As learning environments increasingly shift ...
Bill Hader has finally revealed the real reason he skipped the “Saturday Night Live” 50th anniversary show, saying his crippling anxiety prevented him from participating in the primetime special. (A ...
Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...