The industry's aspirations for machine learning are running ahead of the data plumbing required to support them.

The promise of smart test is a data-chain problem before it is an algorithm problem. A device can pass every checkpoint and still carry a latent defect the test record never captured. As test grows ...

A People Analytics study of 205 tech professionals found that promotions, internal mobility, and career momentum are stronger predictors of early attrition than workplace culture.

A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

Abstract: In lifelong learning, data are used to improve performance not only on the present task, but also on past and future (unencountered) tasks. While typical transfer learning algorithms can ...