When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and controllably can mean the difference between a functioning electrical grid and a ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

The mathematics protecting communications since before the internet remain our strongest defense against machine-speed ...

New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...

Data quality and interoperability become critical enablers. Agentic systems rely on timely, accurate information from across ...

In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

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

AIOps changes this by applying machine learning and advanced analytics. Consequently, the managed NOCs gain context, ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...