According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

As well as behavioural and technical issues, firms must also solve a variety of organisational problems to make AI work for ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Along with the Cross Training equipment, Peloton launched Peloton IQ, its new AI software that gives members a more ...

As global carriers in aggressively pursue AI-driven automation, U.S. operators require architectural frameworks that enable innovation and manage infrastructure.

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...

Artificial Intelligence (AI) has evolved from a futuristic concept into the driving force behind automation, personalization, and innovation across every industry. From self-driving cars to ...

Abstract: This paper shows that physics-aware machine learning can construct accurate surrogate models for optimal design, uncertainty quantification, and data assimilation, even when limited training ...

As we get ready for 2025, the world of AI training tools is really heating up. It feels like every week there’s something new that promises to make building and using AI easier. Whether you’re just ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Discovering chemical reaction pathways using quantum mechanics is impractical for many ...