Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Researchers have found in a new study that tooth loss is highly associated with stroke risk, with patients having increased ...

Patients with chronic hepatitis B virus (HBV) infection in the immune-tolerant phase may still experience hepatic inflammation and disease progression, and could benefit from early antiviral treatment ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

A small-scale model validating viral clearance addresses the specific challenges of continuous manufacturing bioprocesses.

The models can be estimated using a number of commonly used statistical programs. As is illustrated by an empirical example, ordered probit and logit models, like their dichotomous counterparts, take ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

Econometrica publishes original articles in all branches of economics - theoretical and empirical, abstract and applied, providing wide-ranging coverage across the subject area. It promotes studies ...

Public companies, which accounted for about half of AI-enabled devices on the market, had a higher rate of recalls and a lower rate of clinical evidence, according to a JAMA study.