In healthcare, anomaly detection can spot irregular billing practices, pinpoint insurance fraud and protect sensitive patient data from unauthorized access. Natural language processing (NLP ...

Rationalization: the conclusion that the gains from committing fraud outweigh the possibility of detection ... Analysis techniques using machine learning can look at data that is being updated ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Among the most popular are image processing for recognition and natural language processing ... Automated anomaly detection: Using machine learning to rapidly identify known bad behaviors is ...

Since machine learning and artificial intelligence are virtually the same technology, people also call this approach "using AI to detect AI ... pertain to English-language audio.

For example, if you want to automatically detect ... Machine learning allows researchers to learn from data and account for the complexity, noise and variability of individuals. By using large ...

According to Pontes, one of the key differentiators between Sysdig and other providers is that the former is moving away from using machine learning for more general anomaly detection, and toward ...

Gene mutations in acute myeloid leukemia (AML) cells can guide treatment options, and machine ... may detect these patterns. The study used an AI strategy called multiple instance learning ...