Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
A new study published in Big Earth Data demonstrates that integrating Twitter data with deep learning techniques can ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
AI-based security detection automates the analysis of large, complex data sets to uncover threats in real time. These systems not only flag potential risks but can also trigger automated response ...
Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
According to the paper, artificial intelligence addresses a core weakness in Parkinson’s care: reliance on subjective ...
Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for Enhanced Diagnostic Capabilities Vancouver, British Columbia–(Newsfile Corp.
The numbers tell a stark story: $1.42 billion lost across 149 documented incidents in 2024 due to smart contract vulnerabilities, with access control ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Interesting Engineering on MSN
US researchers build fall-safe biped robots to advance real-world reinforcement learning
Researchers in the US developed bipedal robots with a new design, the HybridLeg platform, ...
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