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Artificial Intelligence (AI) is a university textbook on artificial intelligence, written by Patrick Henry Winston. It was first published in 1977, and the third edition of the book was released in 1992. [1] It was used as the course textbook for MIT course 6.034. [2]
AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...
Leading textbook company Pearson has outfitted its digital textbooks—specifically 50 science titles, such as Intro to Biology and Intro to Chemistry—with generative AI study tools. As of this ...
AI’s incipient invasion of the classroom, from personal robo-tutors to AI-powered tools, is a triumph of progress to industry boosters like Sam Altman—and a worrisome new trend to many wary ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Artificial Intelligence: A Guide for Thinking Humans is a 2019 nonfiction book by Santa Fe Institute professor Melanie Mitchell. [1] The book provides an overview of artificial intelligence (AI) technology, and argues that people tend to overestimate the abilities of artificial intelligence. [2] [3]
Most AI researchers believe strong AI can be achieved in the future, but some thinkers, like Hubert Dreyfus and Roger Penrose, deny the possibility of achieving strong AI. [82] [83] John McCarthy is among those who believe human-level AI will be accomplished, but that the present level of progress is such that a date cannot accurately be ...
Meanwhile, while fewer faculty members used AI, the percentage grew to 22% of faculty members in the fall of 2023, up from 9% in spring 2023. Teachers are turning to AI tools and platforms ...