If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Researchers have developed a machine-learning workflow for processing complex 2D X-ray total scattering data from thin film ...

Compared with the secondaries market’s largely bottom-up approach to pricing portfolios, Oliver Gottschalg, professor of ...

Algorithm: A mathematical process run on data to produce an output. There are different types of algorithms for different machine learning problems. Artificial Intelligence (AI): A field of ...

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 ...

20 Gianfrancesco MA, Tamang S, Yazdany J, Schmajuk G. Potential biases in machine learning algorithms using electronic health record data. JAMA Intern Med. 2018;178 (11):1544–7.

By 2030, it’s expected that the market for streaming data will eclipse $73 billion, growing nearly 20% each year until then. More impressively, the machine learning market—which brought in $15 ...