Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

This article explores how AI-augmented laboratories optimize high-throughput experimentation and improve efficiency in ...

WiseCode uses AI-driven data analysis to reveal ingredient and nutrient information, helping you make more informed shopping ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

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 ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.

The U.S. Army created a new AI and machine learning officer career field, launching initial selections through VTIP in 2026.

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

The U.S. Army is formalizing a new career path that allows officers to specialize in artificial intelligence and machine ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...