The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...

Machine learning algorithms may accurately predict inborn errors of immunity (IEI) in children with persistently low serum IgE.

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

A bee lands on a flower, its tiny body dusted with pollen. Moments later, it lifts into the air and settles on another blossom, leaving behind the beginning of ...

Traditional lending relies on collateral and a financial history that productive smallholder farmers may find difficult to ...

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN ...

Dr. Melanie Campbell and graduate student Lyndsy Acheson study an image of a retina. They are looking for protein deposits found in association with brain diseases, such as Alzheimer's, FTLD-TDP and ...

A retinal image could help doctors quickly distinguish between similar neurodegenerative diseases such as ALS and Alzheimer's disease, and with ...

AI is rapidly reshaping the landscape of surgical oncology. However, its true potential lies not in isolated tools, but ...

AI-powered polarized retinal imaging detects protein deposits linked to neurodegenerative diseases, distinguishing ...