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 ...

Beyond improving fraud detection, Patil's work has helped Amazon optimize its resource allocation. By reducing the number of ...

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

Eternity in an Instant/Stone via Getty Images Finally, the last step of an algorithm is output – expressing the answer. To a computer, output is usually more data, just like input.

The amount of data we generate every day is staggering—currently estimated at 2.6 quintillion bytes —and it’s the resource that makes deep learning possible. Since deep-learning algorithms ...

Microsoft is contributing that algorithm, known as "Project Zipline," plus the associated hardware design specs and related source code to the Open Compute Project, the company announced on March 14.

Mathematician Cathy O'Neil says algorithms embed existing bias into code — with potentially destructive outcomes. Everyone should question their fairness, not just computer scientists and coders.

Most medical algorithms are trained on data collected in New York, California, and Massachusetts. That might skew they’re accuracy if they’re used in other places, researchers suggest.