Please provide your email address to receive an email when new articles are posted on . The model, along with a traffic-light system, boosted sensitivity and specificity of agitation recognition.

Blockchain security startup Mamori today announced it has secured $5 million in seed funding for its platform that uses machine learning to detect and remediate exploits. The round was led by ...

Researchers have developed a new method for detecting defects in additively manufactured components. Researchers at the University of Illinois Urbana-Champaign have developed a new method for ...

In a world that's growing more digital and interconnected by the day, fraud has taken on new dimensions, often dealing crippling blows to business. From online transactions to sensitive data ...

WASHINGTON--(BUSINESS WIRE)--CorVista Health, Inc., a leading digital health company dedicated to improving cardiovascular disease diagnosis, is pleased to announce the presentation of Machine ...

Using infrared light and machine learning, researchers have developed a method to effectively screen human health and its deviations at a population level. Envision a scenario where a single drop of ...

Investigators evaluated whether data collected from a fitness tracker could be used to accurately detect mood episodes in people with bipolar disorder. Study indicates that a fitness tracker can ...

TTC OPERATED BY ENSCO, RAILWAY AGE OCTOBER 2025 ISSUE: Trespassing along a rail corridor remains one of the most important and challenging issues that railroad operators face every day. Trespassing on ...

HOUSTON – (May 9, 2025) – A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying hazardous pollutants in soil, even ones that have never ...

Researchers from Nanjing University have published a research article in ExRNA, presenting a novel approach for detecting gutter oil using microRNAs (miRNAs) as biomarkers. Researchers demonstrated ...