The Army on Tuesday announced that it is standing up a dedicated artificial intelligence and machine-learning career field ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

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 ...

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 ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...

Abstract: Distributed Machine Learning (DML) utilizes parallel computation on multiple training nodes to accelerate machine learning model training. Parameter Server (PS) is a typical DML enabler and ...