Through edge computing and machine learning, we can actually significantly reduce the amount of time—and hence, power—data centers need to use to process data.

Payman Benham, Sixu Li, Irene Wang, and William Won were chosen from over 150 applicants based on their machine learning (ML) ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

D-Wave's Murray Thom shared his company's quantum computing applications: about 50% optimization, 20% AI and ML, 10% materials science, and 20% other.

Q&A: Uber’s machine learning chief says pattern-finding computing fuels ride-hailing giant by Dan Richman on October 19, 2016 at 2:45 pm Share 3 ...

Healthcare: Advanced machine learning systems can be used to diagnose patients based on symptoms, spot problems with medication, and more. This is a new field, but one filled with potential.

That practice is called “human-in-the-loop” computing. Here’s how it works: First, a machine learning model takes a first pass on the data, or every video, image or document that needs labeling.

Tom M. Mitchell, a machine learning expert from Carnegie Mellon University, put it like this: "A computer program is said to learn from experience E with respect to some class of tasks T and ...