How complex neural circuits are genetically designed and wired is a fundamental question in neuroscience. Scientists have ...

Scientists use machine learning and SPERRFY to decode the genetic wiring map that guides neural connections across the entire ...

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

The promise of smart test is a data-chain problem before it is an algorithm problem. A device can pass every checkpoint and ...

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

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.

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 ...

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 ...

While the world's leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of the ...

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 ...