Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

The predictive ability of cough sound algorithms shows promise in detecting acute respiratory diseases, study finds.

When machine learning algorithms are fed a steady stream of real-time data, they can quickly detect bottlenecks, anomalies and other operational inefficiencies.

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...