Responsible AI involves designing machine learning systems that are transparent, fair, and accountable. In the context of healthcare, responsible AI also includes protecting patient privacy, ensuring ...

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 ...

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

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

The battlefield is no longer just a physical space of troops and artillery; it is a vast, invisible network of data, sensors, and machine learning models. In the current Iran-Israel conflict, AI is ...

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

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

Reported accuracies were 86% (Random Forest) and 96% (convolutional neural networks), positioning retinal imaging as a candidate scalable tool for underserved populations. AI-powered polarized-light ...

Researchers develop a 96% accurate AI-powered retinal scan to distinguish between Alzheimer’s and ALS by detecting specific ...

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

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

Finalists in the Society for Science and Regeneron $1.8 million science competition are increasingly turning to machine learning, and organizers are balancing innovation with misuse.