Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by ...

The solution lies in fundamentally reimagining security data architecture around what AI models actually need to perform effectively. This means transitioning from legacy data feeds to what could be ...

While the precedent set by Recentive Analytics, Inc. v. Fox Corp.[1] presents a formidable challenge, it does not represent a complete foreclosure ...

AI and ML projects will fail without good data because data is the foundation that enables these technologies to learn. Data ...

Large-scale, well organized, and open datasets are necessary for primary care–focused artificial intelligence and machine learning (AI/ML) research and development. This article proposes a set of high ...

Large-scale, well-organized, and open datasets are necessary for primary care–focused artificial intelligence and machine learning (AI/ML) research and development.

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

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

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

Google DeepMind's AlphaEarth Foundations is a new AI system that processes vast satellite data to create highly detailed, ...