(NASDAQ: BEAT), a medical technology company focused on transforming cardiac care by providing powerful personalized insights ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.

Rice computer scientists have developed algorithms that account for quantum noise that is not just random, but malicious ...

In the paper "UCB-Type Learning Algorithms with Kaplan–Meier Estimator for Lost Sales Inventory Models with Lead Times," Lyu, Zhang, and Xin propose an upper confidence bound–type learning framework.

Today's AI vision is effective at recognizing simple images in isolation—such as buildings, cars, and people. But when it's ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

Machine learning plays a pivotal role in the development of autonomous vehicles and robots. In the realm of mechanical ...

The journey from the rugged steam engine to the precision of electrification, and then to the disruption of information ...