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.

Machine learning is helping create stronger, more efficient encryption methods. By analyzing huge amounts of data, ML can design encryption algorithms that are tougher to crack.

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by ...

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

What it takes to get useful health data from your smartwatch Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses.

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 ...

“An algorithm is a set of steps for solving a problem or accomplishing a goal,” she said. The next step up is machine learning, which uses algorithms.

Learn machine learning algorithms, and statistical analysis to understand complex data, and leverage it to make informed business decisions. As part of the Rutgers Stackable Business Innovation ...

Machine learning techniques are used across industries in various areas of the supply chain. It is important to note that there are several applications of ML depending on the nature of the industry, ...

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.