A novel AI algorithm equips researchers with a powerful new tool to accurately identify individual jaguars, zebras and ...

When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers from the GFZ Helmholtz Center for Geosciences led by Dr. Sadegh Karimpouli ...

AI is transforming drug discovery faster than deal structures can adapt. Traditional licensing frameworks were built for linear innovation: ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Artificial intelligence techniques originally developed for biometric identification are now being adapted to support aircraft engine inspection. According to Rolls-Royce, the analytical logic that ...

Abstract: With the rapid development of electronic warfare technology, numerous complex scenarios involving active compound jamming pose significant challenges to synthetic aperture radar (SAR) ...

Every Wednesday and Friday, TechNode’s Briefing newsletter delivers a roundup of the most important news in China tech, straight to your inbox. Sign up Shenzhen Bi’an Mind Technology, founded in 2021, ...

In an internal memo last year, Meta said the political tumult in the United States would distract critics from the feature’s release. By Kashmir Hill Kalley Huang and Mike Isaac Kashmir Hill reported ...

The UK government’s proposed reforms to policing in England and Wales signal an increase in the use of facial recognition technology. The number of live facial recognition vans is set to rise from ten ...

In the world of lottery play, there are two distinct types of players. The first group relies on superstition—birthdays, anniversaries, and "lucky numbers" that come to them in dreams. The second ...

The classification of traditional patterns is of great significance for their digital protection. Most studies focus on classifying patterns of different categories, while this study addresses the ...

Abstract: Emotion recognition in humans is a multidisciplinary field that involves analyzing several types of data. Computational techniques in pattern recognition and machine learning have been ...