A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence ...
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.
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...
First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...
FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...
The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows ...
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No-code machine learning development tools
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Sharma, Fu, and Ansari et al. developed a tool for converting plain-text instructions into photonic circuit designs with the ...
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