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What is perception, and what are its different types?
Perception: Path to a High-Paying AI Jobs: Key Interview Questions and Expert Answers
This article is the series of Path to a High-Paying AI Jobs: Key Interview Questions and Expert Answers Index Article. You can find Key Interview Questions that are highly asked on High-Paying AI Job Interviews and links to expert answer articles from that page.
Perception is the process by which humans or intelligent systems interpret sensory information from the environment to understand and make sense of the world around them.
In both humans and machines, perception involves receiving raw sensory data (such as visual, auditory, tactile, or olfactory inputs), processing that data, and forming an understanding or interpretation of it. For intelligent systems, perception often refers to how machines or algorithms interpret sensor data (e.g., images, sounds) to perform tasks like object detection, speech recognition, or navigation.
In the context of artificial intelligence (AI) and machine learning, perception refers to the ability of machines to perceive and interpret sensory data using algorithms that mimic human sensory processes. It is a foundational aspect of computer vision, speech recognition, robotics, and other AI-driven fields.
