A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...

Computer scientist David Magerman, a veteran of Renaissance Technologies, argues that AI doomsday predictions are overblown hype. He asserts that current LLM-based AI solutions are largely in failing ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Abstract: Wearable sensors are essential for tracking human activity, but analyzing their data requires robust classification methods. This study evaluates traditional machine learning models (Random ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

Hypermobile Ehlers-Danlos syndrome (hEDS) is one of the most common heritable connective tissue disorders. Early estimates have reported that this genetic disorder affects at least one in 5,000 ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

Future AI-guided genomic analysis offers the potential to further optimize gene constructs, expression profiles, and performance traits, accelerating the development of next-generation materials.

Abstract: High-dimensional and weakly supervised (HiDWS) data present significant challenges for traditional machine learning and pattern recognition. Although semi-supervised feature selection has ...