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Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. Artificial intelligence algorithms are commonly developed and employed to achieve this, specialized for different types of data.
A Wardley map is a map for business strategy. [1] Components are positioned within a value chain and anchored by the user need, with movement described by an evolution axis. [ 2 ] Wardley maps are named after Simon Wardley who created the technique at Fotango in 2005 having created the evolutionary framing the previous year.
The business model canvas is a strategic management template used for developing new business models and documenting existing ones. [2] [3] It offers a visual chart with elements describing a firm's or product's value proposition, [4] infrastructure, customers, and finances, [1] assisting businesses to align their activities by illustrating potential trade-offs.
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.
In the same month, business magnate Elon Musk made headlines by agreeing with the book that artificial intelligence is potentially more dangerous than nuclear weapons. [ 8 ] [ 9 ] [ 10 ] Bostrom's work on superintelligence has also influenced Bill Gates ’s concern for the existential risks facing humanity over the coming century.
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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]
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 computer vision.
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