News by Subject Technology & Engineering

Researchers from Skoltech and a major European bank have developed a neural network that outperforms existing state-of-the-art solutions in using transactional banking data for customer credit scoring.

Selecting the right deconvolution method to analyze the composition of complex mixtures of cells just got easier. Researchers at Baylor College of Medicine derived clear guidelines scientists can use to determine the deconvolution method that optimally fits their needs.

Despite increasing concern over the intrusion of algorithms in daily life, people may be more willing to trust a computer program than their fellow humans, especially if a task becomes too challenging, according to new research from data scientists at the University of Georgia.

Microphones and cameras are everywhere today: in smartphones, laptops, even in refrigerators and televisions. Many people are now used to their presence and no longer see them for what they actually are - ubiquitous eyes and ears. A team of computer scientists from Saarland University uses an innovative design approach to critically question this sensory technology that has become part of everyday life.

Researchers develop new machine learning method to accurately predict battery state of health.

Rice University computer scientists have demonstrated artificial intelligence software that runs on commodity processors and trains deep neural networks 15 times faster than platforms based on graphics processors.

A University of Washington-led team has developed a method that uses the camera on a person's smartphone or computer to take their pulse and breathing rate from a real-time video of their face.