Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

How Are Non-Human Identities Reshaping Cybersecurity Solutions? How often have you considered the role of machine identities? With more enterprises migrate their operations to the cloud, the ...

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

Transform Cloud Security? Can your organization afford to overlook the security of Non-Human Identities? Machine identities have become as crucial as human identities, bringing unique challenges and ...

From Supermemory to Cluely, entrepreneurs from the Indian Diaspora currently aged below 25 are rewriting how technology is ...

STMicroelectronics has developed a three-in-one motion sensor designed for industrial IoT systems requiring both precision ...

A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” beyond human perception to uncover hidden features in plant roots.

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

A deep learning model using brain scans and tests predicts alcohol use disorder risk in firefighters, enhancing mental health ...

Continuous learning doesn't rebuild detections. It tunes existing logic based on verified outcomes. The foundation (trained models, correlation rules, policy frameworks) stays intact. Feedback ...