Know how Market Manipulation Detection in Web3 identifies coordinated trading behavior. Learn how AI analytics spot wash trading, MEV patterns, and liquidity exploitation.

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...

A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.

Since the third Gaia data release in 2022, wide binary stars with separation greater than several thousand astronomical units have been intensely investigated across the world, to probe the nature of ...

AI-driven cyberattacks are rising fast. Here are the layered security measures to protect your accounts, devices, and sensitive data.

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...

The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.

In 2023, the website then known as Twitter partially open sourced its algorithm for the first time. In those days, Tesla billionaire Elon Musk had only recently acquired the platform, and he claimed ...

X is revamping the algorithm that ranks posts in the "For You" feed. The engineering team said it will post changes to the algorithm on GitHub every four weeks, including explainers on changes. The ...

This project implements an ensemble-based anomaly detection system that identifies unusual booking patterns in hotel reservation data. It combines multiple detection methods for robust, reliable ...

All the Latest Game Footage and Images from The Anomaly Manor There’s a mansion with a dark legend: Whoever enters disappears forever. Equipped with your spectral camera, you decide to delve inside to ...

Abstract: The industrial control anomaly detection algorithm effectively monitors and identifies anomalies in industrial control systems, ensuring timely issue detection to maintain system reliability ...