Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Two malicious VS Code extensions have exfiltrated code snippets, API keys, and proprietary algorithms from 1.5 million ...

South Korea’s authorities are continuing to crack down on cybercrime this 2026, with its Financial Supervisory Service ...

The system, called ‘Vision Pulse’, relies on ultra-wide band (UWB) signals to identify nearby objects and warn motorists when ...

Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

Abstract: Multiframe detection algorithms can effectively utilize the correlation between consecutive echoes to improve the detection performance of weak targets. Existing efficient multiframe ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

Distinguished delegates, colleagues and friends, Writers and futurists have long echoed Alvin and Heidi Toffler’s idea that “the future arrives too fast…and in the wrong order.” Today, we know, the ...

Rapid detection of large vessel occlusion (LVO) is critical for timely endovascular therapy in acute ischemic stroke. While artificial intelligence (AI) algorithms show promise in automating LVO ...

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