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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.
For Christmas I received an interesting gift from a friend - my very own "best-selling" book. "Tech-Splaining for Dummies" (great title) bears my name and my photo on its cover, and it has glowing ...
Book design is the art of incorporating the content, style, format, design, and sequence of the various components and elements of a book into a coherent unit. In the words of renowned typographer Jan Tschichold (1902–1974), book design, "though largely forgotten today, [relies upon] methods and rules upon which it is impossible to improve ...
Book covers need to effectively communicate their content to the intended market, which can encourage reliance on stereotypical representations, such as using the color pink for books by or about women, or showing a multiracial group on the cover of a book about racial diversity.
Cover art is a type of artwork presented as an illustration or photograph on the outside of a published product, such as a book (often on a dust jacket), magazine, newspaper , comic book, video game , music album , CD, videotape, DVD, or podcast. Cover art can include various things such as logos, symbols, images, colors, or anything that ...
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Front cover, 1 the Road 1 the Road is an experimental novel composed by artificial intelligence (AI). Emulating Jack Kerouac's On the Road, Ross Goodwin drove from New York to New Orleans in March 2017 with an AI in a laptop hooked up to various sensors, whose output the AI turned into words that were printed on rolls of receipt paper.
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 ...