B2AL

Perception in AI refers to the ability of an intelligent system to interpret and understand sensory inputs from the environment. These inputs can come from a variety of sources, such as images, videos, sounds, and other types of sensor data. Perception is a crucial aspect of AI because it enables machines to make sense of the world around them and interact with it in meaningful ways.  Here are some examples of perception in AI: Computer Vision: This is the ability of machines to interpret and understand visual inputs such as images and videos. Computer vision algorithms can be used for various applications, such as object detection, facial recognition, and image segmentation. Speech Recognition: This is the ability of machines to interpret and understand spoken language. Speech recognition algorithms can be used for various applications, such as virtual assistants, automated transcription, and language translation. Natural Language Processing (NLP): This is the ability of mach...