👉 Detection computing, also known as detection or anomaly detection, is a subset of artificial intelligence focused on identifying and classifying specific objects, events, or patterns within data. It involves training machine learning models to recognize and distinguish between different categories of information, such as identifying faces in images, detecting fraudulent transactions in financial data, or spotting anomalies in sensor readings. The process typically includes data preprocessing, model training using labeled datasets, and evaluation to ensure accuracy and reliability. Detection computing is crucial in various applications, including security systems, healthcare diagnostics, autonomous vehicles, and cybersecurity, where the ability to accurately identify and respond to specific inputs can significantly impact outcomes.
