This DIY AI Health Assistant Trained with Edge Impulse, the Edge ML model detects real-time anomalies in SpOâ‚‚ and heart rate, ...
Using machine learning to detect problem gambling and fraudIssued by Reinart NienaberJohannesburg, 27 Oct 2025 Betting companies train machine learning programs to monitor players’ behaviour. AI ...
The Chosun Ilbo on MSN
LG Chem Leverages AI, Drones for Anomaly Detection
LG Chem is accelerating efforts to enhance customer value by pursuing an "Artificial Intelligence Transformation (AX)" across ...
Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
AI is revolutionizing security in crypto exchanges by detecting unusual transactions and phishing attacks effectively.
Cylerity, a healthcare fintech company that helps providers access capital faster, today announced it has raised $4 million ...
Cyber attacks are growing smarter and faster. Hackers use advanced techniques to target businesses of all sizes. Traditional defenses often struggle to keep up, leaving networks and data at risk. […] ...
Festive ad season, once rife with bots and fraud, is now seeing a shift toward AI-driven, real-time anti-fraud measures that ...
As automation and AI continue to redefine business operations, one of the most quietly transformative areas is payroll and ...
Dr. Barnwal outlined how AI-driven tools are being used to detect, prevent, and resolve fraudulent activities within large-scale government health schemes.
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