AI detection refers to the use of artificial intelligence algorithms and techniques to detect, analyze, and identify various patterns, trends, or anomalies in data.
Some common applications of AI detection include fraud detection in financial transactions, malware detection in cybersecurity, object detection in image and video processing, and anomaly detection in predictive maintenance.
AI detection systems typically use machine learning algorithms such as supervised learning, unsupervised learning, and deep learning to detect and classify data patterns. These systems are trained on large datasets to improve their accuracy and performance in detecting specific patterns or potential threats.