Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might ...

While AI holds the promise of radically transforming KM, human oversight takes on intensified responsibilities for ensuring the knowledge provided is accurate, timely, and relevant as well as guarding ...

Abstract: With the advent of big data and cloud services, user data has become an important issue. Although a variety of detection and prevention technologies are used to protect user data, ransomware ...

Abstract: Ordinal data are common in many data mining and machine learning tasks. Compared to nominal data, the possible values (also called categories interchangeably) of an ordinal attribute are ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

High-entropy alloys (HEAs) are metallurgy’s version of having your cake and eating it too, combining multiple elements to ...

Water is the most abundant liquid on Earth's surface, and it is highly anomalous compared with other liquids because it ...

Scientists have combined machine learning with quantum physics to discover two new superconductors and create a much faster way to search for many more. The technique could bring researchers ...

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

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

As the era of AI agents—systems that can reason and act autonomously—begins, the power consumption of data centers is ...

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...