Just because a critical failure hasn’t happened yet doesn’t mean it won’t happen in the future. The question becomes: If it ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

At the heart of the friction is a simple contrast. The ledger must be immutable, reconcilable to the last decimal, and ...

D-Wave Quantum (NYSE:QBTS) develops quantum computing systems, hybrid solvers, and software platforms, driving technological ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

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

Current research suggests that air pollution particles offset about one-third of the warming caused by human-generated ...

Future-Proofing Business Finance With AI-Driven Cash Flow Models - Cash flow is the lifeblood of any business, yet predicting ...

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 (AI/ML), ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...