The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...

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 ...

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.

Abstract: Securing systems, networks, and information amid cyber threats involves a blend of machine learning and cybersecurity, which uses machine learning to identify abnormal behaviors, classify ...

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

Artificial intelligence works when computers learn from data that is readily available. But there is no data to teach robots to do simple human tasks. It needs to be created. That's what MIT graduates ...

Social conventions—such as how people dress and greet in the workplace—pervade human culture. Yet how people learn conventions as they emerge and evolve in social networks is an enduring puzzle.

I used to laugh when people would say things like "gambling is becoming a real problem in this country." I mean, sure, it probably isn't the best thing to get addicted to, but back in my day you used ...