A 4-channel wearable seizure detection algorithm performance approaches the level of expert epileptologists for the detection of electrographic seizures.
The Pioneer on MSN
The real AI revolution in banking: Decision packs, not algorithms
The future: AI-assisted, context-rich, human-governed banking ...
Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...
Learn how AI-native testing lets engineering teams release software faster, around the clock, without time-zone delays or ...
Security remains a dominant challenge in remote health monitoring. Medical data is deeply sensitive, and breaches can expose patients to identity theft, insurance exploitation or targeted cyberattacks ...
Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, ...
Leveraging the high performance, low-power design, and rich peripherals of AT32 MCUs—combined with the Edge Impulse platform— ...
Morning Overview on MSN
Signs of alien civilizations may finally be emerging
For decades, the search for extraterrestrial intelligence has been defined more by silence than discovery, but that balance may be starting to shift. As new telescopes, algorithms, and theoretical ...
The study “Smart Grid Cybersecurity: Anomaly Detection in Solar Power Systems Using Deep Learning” is the joint effort of researchers from Noida International University and Dayananda Sagar University ...
ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
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