Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

An advanced AI platform should help R&D labs streamline workflows while supporting long-term innovation and competitive ...

While the availability of AI tools has removed barriers to entry, it has also increased the risk of misalignment.

The same AI that can help revive endangered languages can also deepen historical injustice. The difference, University of ...

Environmental exposures increase risk for cardiometabolic disease, but improved predictive tools combining satellite imaging, ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

This may well be the answer to AI slop, but it could also be way out of all that tiresome, chronically inefficient language.

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

In February, the AFL announced the most significant change to the Brownlow Medal voting process since 1978, when the umpiring ...