Has sports betting changed? Absolutely! Statistics and numerical analysis have completely re-shaped how betting works. In the ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

OverviewThe global NLP in healthcare & life sciences market is anticipated to expand at a CAGR of nearly 25% during the forecast period, fueled by widespread EHR adoption, rising interest in ...

Sylvester Tafirenyika is using research-driven, privacy-first systems to help clinicians reduce avoidable hospital ...

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

As businesses turn to ERP solutions for predictive insights, it’s important to keep in mind three key considerations.

We are advancing predictive maintenance using AI and machine-learning tools, expanding asset health monitoring across ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

The achievement was made by uncovering and activating capacity that had always been there: Staff just couldn't see it until they implemented consistent processes and system-wide analytics.

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

With the advent of Agentic AI, CIOs are poised to adjust strategic IT priorities, mitigate new security risks and reskill ...

The next frontier of defense is not in the skies or at sea; it is in the cloud, in our data centers and in the invisible ...