BearID uses deep learning, a subset of machine learning that makes use of artificial neural networks, to analyze images and ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

Recent advances in computer vision and other types of artificial intelligence offer an opportunity for facial recognition to ...

A shortage of qualified AI engineers and other talent as well as escalating corporate reliance on AI strategy are pushing AI ...

In the real world, convinced that aliens were planning to beam him into the sky, Daniel says that he repeatedly drove his ...

For a small subset of students, Frisco's hybrid program could make sense. But virtual learning shouldn’t be adopted just ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

AI system predicts risk for 130 diseases from one night's sleep with up to 85% accuracy. Sleep patterns show hidden health ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...