Michigan's McLaren Health Care has launched a new tool that uses artificial intelligence to identify patients' risk for cardiovascular disease, allowing them to get care for the disease before it ...

Previous reports have indicated that between 20% and 60% of pregnant women in Ireland consume alcohol during pregnancy. Data on alcohol consumption by pregnant women in Ireland have previously only ...

Emily Mae Czachor is a reporter and news editor at CBSNews.com. She typically covers breaking news, extreme weather and issues involving social justice. Emily Mae previously wrote for outlets like the ...

South Korea is transitioning crypto market surveillance to AI-driven systems, in which algorithms automatically detect suspicious trading activity, replacing manual processes. The new detection model ...

The FBI is deploying Bluetooth "signal sniffer" technology in a bid to detect the pacemaker of Savannah Guthrie's missing mother, Nancy, RadarOnline.com can reveal. According to Fox News, the Pima ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. The move demonstrates how usage of AI and machine learning in ...

Mammograms can detect the presence of breast arterial calcification, which is associated with a higher risk of future heart attacks and stroke. Mammograms detect tumors, but they can also identify ...

Microsoft’s research shows how poisoned language models can hide malicious triggers, creating new integrity risks for enterprises using third-party AI systems. Microsoft has developed a scanner ...

Retreats are a funny thing in law firms. They’re often the only time in the year when attorneys and business professionals are expected to step away from deadlines, stop multitasking, and actually ...

Abstract: Global navigation satellite system (GNSS) radio signals are extremely susceptible to interference in urban environments, and even multifrequency geodetic receiver observation data are often ...

For the past four months, researchers at the University of North Texas have been using artificial intelligence images of traffic debris and carcasses to help detect road hazards. "Every year, there's ...

Abstract: Outlier detection is an effective technique for identifying abnormal samples in complex data. Random walks effectively detect outliers by analyzing graph transition patterns. However, ...