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Artificial intelligence has changed how people work and live in 2024, as companies create tools that can write code, generate images, and solve complex problems. The technology is seemingly ...
In artificial intelligence, symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) [1] [2] is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [3]
The history of artificial intelligence is one of an almost sectarian struggle between opposing approaches to solving the challenge of creating machines that could learn and “think” like people.
In image processing, the input is an image and the output is an image as well, whereas in computer vision, an image or a video is taken as an input and the output could be an enhanced image, an understanding of the content of an image or even behavior of a computer system based on such understanding.
Neural networks are used to solve problems in artificial intelligence, and have thereby found applications in many disciplines, including predictive modeling, adaptive control, facial recognition, handwriting recognition, general game playing, and generative AI.
At Google DeepMind, perhaps the most important example is AlphaFold, the company’s AI program capable of solving what it calls the protein prediction problem. “A protein is a basic building ...
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