Q1. Elaborate the assessment which used to test the intelligence of a machine.
Q2. How is Computer Vision and AI related?
Q1. Elaborate the assessment which used to test the intelligence of a machine. Q2. How is Computer Vision and AI …
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Q1. Elaborate the assessment which used to test the intelligence of a machine.
Q2. How is Computer Vision and AI related?
Q1. Elaborate the assessment which used to test the intelligence of a machine.
ANSWER:
The most famous test for measuring intelligence, the Turing Test.
Turing test was devised by the founder of modern computers Alan Turing during 1950, to check if a machine was intelligent or not. It involved a computer and a human giving text based responses to any question asked.
The Turing Test is a deceptively simple method of determining whether a machine can demonstrate human intelligence: If a machine can engage in a conversation with a human without being detected as a machine, it has demonstrated human intelligence.
Working of Turing Test:
During the test, one of the humans functions as the questioner, while the second human and the computer function as respondents. The questioner interrogates the respondents within a specific subject area, using a specified format and context. After a preset length of time or number of questions, the questioner is then asked to decide which respondent was human and which was a computer.
Q2. How is Computer Vision and AI related?
ANSWER:
Computer vision is a field of AI that trains computers to capture and interpret information from image and video data. By applying machine learning (ML) models to images, computers can classify objects and respond—like unlocking your smartphone when it recognizes your face.
Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs — and take actions or make recommendations based on that information.
AI-based computer vision can sense the surroundings to identify various objects, such as pedestrians, traffic signals, and more, on the road. Moreover, it also helps in measuring the distance of the vehicle from other vehicles. The technology helps a device to recognize the face to verify the identity of the person.