Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the computing resources ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Children's Hospital Los Angeles (CHLA) is launching the first sleep registry in the country for children using Apple Watch as ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

The world of computing is full of buzzwords: AI, supercomputers, machine learning, the cloud, quantum computing and more. One word in particular is used throughout computing – algorithm.

Machine learning algorithms face two main constraints: Memory and processing speed. Let’s talk about memory first, which is usually the most limiting constraint. A modern PC typically has ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

If you’re doing machine learning purely for academic purposes and to push the boundaries of science, then there might be no limits to the type of data or machine learning algorithms you can use.

Machine-learning algorithms typically become more accurate when they are trained on large amounts of data. Machine-learning tools that can identify faces and translate text have rapidly become ...

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 ...