Built on eSmart Systems’ patent-pending Adaptive AI, the new platform lets utilities and technology companies build, deploy, and scale custom AI models in minutes - without machine learning expertise ...

A retinal image could help doctors quickly distinguish between similar neurodegenerative diseases, such as ALS and Alzheimer's disease, and with remarkable accuracy, according to new research ...

Researchers use machine learning to distinguish between mental and neuromuscular fatigue in elite youth table tennis players through new data analysis method.

RSAC event spotlights AI-driven cyber defense, data integrity and autonomous protection as security leaders confront machine-speed threats worldwide.

Drug-drug interactions (DDI) can cause adverse drug reactions during the co-administration of multiple drugs, necessitating accurate and scalable prediction tools. While deep learning models have ...

MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like robot navigation, that is about twice as effective as some existing ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Abstract: Electromyography (EMG) plays a crucial role in the medical sector for assessing muscular health and diagnosing related ailments. With a growing global demand for EMG equipment and its ...

Abstract: Spine CT image reconstruction and lesion classification are crucial in diagnosing spine disorders, supporting treatment through automated lesion detection. Leveraging advancements in machine ...

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal behaviors in real time and immediately interact with the animals’ brain ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...