Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.
At the conclusion of their paper, the authors stressed the need for early standardisation internationally of the data input and output parameters, e.g. polarity, impedance, voltage, etc., as well as ...
Deepfakes, synthetic media, and automated impersonation tools are increasingly used to manipulate individuals, organizations, ...
Automakers use AI-driven predictive maintenance and computer vision control to achieve a 35-50% reduction in unscheduled ...
Phishing attacks in 2025 increasingly moved beyond email, with attackers using social platforms, search ads, and ...
On October 30, 2025, a JetBlue A320 flying from Cancún, Mexico, to Newark, New Jersey, experienced a sudden, uncommanded nose ...
Researchers have developed a deep learning model that analyzes EEG brain activity to detect both the type and severity of dementia. Using advanced AI techniques, the model identifies key brainwave ...
As AI reshapes digital ecosystems, observability is evolving into a business-critical discipline that predicts incidents, ...
The modernization of food-monitoring systems reflects a broader trend in public health: relying on data, automation and shared intelligence to manage risks in a world where supply chains are long, ...
ZME Science on MSN
AI Helps Catch Thousands of Cases of Domestic Violence That Hospital Paperwork Classed as “Accidents”
Credit: Unsplash/Sydney Latham. Violence sometimes hides in plain sight, especially in a busy emergency room. Between the ...
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