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Artificial Intelligence: Understanding Business Applications, Automation, and the Job Market
Artificial Intelligence: Understanding Business Applications, Automation, and the Job Market
Artificial Intelligence: Understanding Business Applications, Automation, and the Job Market
Ebook38 pages40 minutes

Artificial Intelligence: Understanding Business Applications, Automation, and the Job Market

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Can machines write books?

Can artificial intelligence be used for business?

Will touch screens be around, or will they be replaced by voice recognition?

What are deepfakes?

How do self-driving cars work, and are they going to be a reality soon?

These questions all come to light in this brief but informational book about artificial intelligence. Society is changing quickly because of automated systems in place that either benefit or undermine people’s living style, jobs, and brains. Today, we explore what that future may hold. We will also look into options for civiliains in today’s modern world to adapt more quickly.

Don’t underestimate the rise of artificial intelligence. Understand the future. Begin reading or listening now!
LanguageEnglish
PublisherEfalon Acies
Release dateAug 3, 2020
ISBN9788835873136

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    Book preview

    Artificial Intelligence - John Adamssen

    Artificial Intelligence

    Understanding Business Applications, Automation, and the Job Market

    By John Adamssen

    Table of Contents

    Chapter 1: Artificial Intelligence

    Chapter 2: Can AI Write Books?

    Chapter 3: Using AI for Business

    Chapter 4: Touch Screens versus Voice Recognition

    Chapter 5: Deepfakes

    Chapter 6: Self-Driving Cars Explained

    Chapter 7: The Future of Jobs

    Chapter 1: Artificial Intelligence

    I thought that I would lay some groundwork: everyone understands that the terms AI and artificial intelligence (ML) are being used with increasing frequency, and to mean all sorts of things, ranging from a much better world to the end of the world. A.i. is a sub-discipline of computer science that was started in the late 50s by a handful of leaders, including Alan Turing (for whom the Turing Award in Computer technology is named, and who broke the Enigma code during WWII) Marvin Minsky and John McCarthy (who actually coined the term AI). The field was officially launched in 1956 at a conference at my university, Dartmouth College.

    The Early Days: Knowledge Representation

    AI began as electronic logical reasoning. The goal in the early days was to offer computer systems with facts and rational assertions (guidelines) in the hope that at some point, the computer system would display human-like intelligence. (By the way, Alan Turing is also popular for developing the Turing Test for Artificial Intelligence: a program passes the Turing Test if, while speaking with it, an individual can't tell whether it's human or a computer system program). This style of AI-- commonly described as knowledge representation-- was widely hyped, but rapidly hit the limits of its effectiveness, especially given the limited computing resources available in the 1960s. Artificial intelligence and robots had also started to seize the public's creativity, with human-like robots becoming a common theme in films, like Robby the Robot in Forbidden World (1956) and HAL from 2001: A Space Odyssey. The perception began to arise that Artificial Intelligence could actually produce thinking devices. (And that the machines were bound to be contemptuous of humans and, eventually, homicidal).

    Computer Science research at the time was funded mostly by federal governments: primarily the U.S. federal government, and primarily from Defense Advanced Research Study Projects Firm (DARPA). The overhyping followed by the absence of results from A.I. researchers triggered the financing for AI to dry up, while areas like networks, running systems, setting languages and (my own area of graduate study) database management systems continued to be supported. This

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