Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning ...

Researchers at IIT Mandi have developed a real-time landslide monitoring and early warning system that has been deployed in ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New machine-learning tools could help organizations flag more phishing sites before ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

BURLINGTON, Mass., Jan. 13, 2026 /PRNewswire/ -- Qstream, the microlearning platform trusted by global enterprise organizations to deliver timely, job-critical learning at scale, today announced the ...

Abstract: The increasing prevalence and complexity of spam have made detection a critical challenge, particularly in resource-constrained Internet of Things (IoT) environments affecting millions of ...

Abstract: Past few years have seen increase in the number of spam emails and messages. Legal, economic and technical measures can be used to tackle spam sms's nowadays. A key role is being played by ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Add Yahoo as a preferred source to see more of our stories on Google. Many carbon-rich meteorites contain ingredients commonly found in life, but no evidence of life itself. James St. John, CC BY When ...