By using large bio-signal datasets, machine-learning algorithms are able to find clear relationships that apply to most people. <b>Fill in the blanks</b> It is often cheap to gather bio-signal ...

ADELPHI, Md.-- Army researchers discovered a way to quickly get information to Soldiers in combat using new machine learning techniques. The algorithms will play a significant role in enhancing ...

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Machine learning algorithms learn from data to solve problems that are too complex to solve with conventional programming. Topics Spotlight: New Thinking about Cloud Computing; ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

People often use “algorithm,” “machine learning” and “artificial intelligence” interchangeably. There is some overlap, but they’re not the same things.

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