Neural processing refers to the way artificial neural networks transform input information through interconnected computational layers to produce meaningful results. Each layer performs mathematical operations on the information it receives, gradually extracting patterns, features, or relationships that help the system interpret the input.
For example, when an AI system processes an image, the network may first identify basic visual patterns before combining them into more complex features and ultimately generating a prediction. The same principle can be applied to text, audio, video, and sensor data. Neural processing forms the foundation of many AI applications, including computer vision, speech recognition, natural language processing, recommendation systems, robotics, and generative AI.
