Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change and ...

Researchers at Johns Hopkins University are leveraging the power of machine learning to improve X-ray-guided pelvic fracture surgery, an operation to treat an injury commonly sustained during car ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and trust AI.

The term dementia is used to describe various debilitating neurological disorders characterized by a progressive loss of memory and a decline in mental abilities. Estimates suggest that over 55 ...

The paper identifies three major areas in which AI is now vital. These include financial market prediction, macroeconomic ...

Compute, data, and algorithmic advances are the three fundamental factors that guide the progress of modern Machine Learning (ML). Researchers studied trends in the most readily quantified factor – ...

Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic ...

Machine learning (ML) has emerged as a powerful tool for studying the properties of condensed matter. To date, most research has focused on the bulk properties of solids, however, defects are ...