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

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

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 ...

A new career path for Army officers that focuses on AI further cements the service’s shift toward cutting-edge technology and ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of these environments lack natural or artificial light, making it difficult for ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

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