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Everything you need to know about narrow AI

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In 1956, a group of scientists led by John McCarthy, a young assistant-professor of mathematics, gathered at the Dartmouth College, NH, for an ambitious six-week project: Creating computers that could "use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves." The project kickstarted the field that has become known as artificial intelligence (AI). At the time, the scientists thought that a "2-month, 10-man study of artificial intelligence" would solve the biggest part of the AI equation. "We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer," the first AI proposal read. We still don't have thinking machines that can think and solve problems like a human child, let alone an adult.


What is artificial narrow intelligence (ANI)?

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This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. In 1956, a group of scientists led by John McCarthy, a young assistant-professor of mathematics, gathered at the Dartmouth College, NH, for an ambitious six-week project: Creating computers that could "use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves." The project kickstarted the field that has become known as artificial intelligence (AI). At the time, the scientists thought that a "2-month, 10-man study of artificial intelligence" would solve the biggest part of the AI equation. "We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer," the first AI proposal read.


What Is Computer Vision?

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When you look at the following image, you see people, objects, and buildings. It brings up memories of past experiences, similar situations you've encountered. The crowd is facing the same direction and holding up phones, which tells you that this is some kind of event. The person standing near the camera is wearing a T-shirt that hints at what the event might be. As you look at other small details, you can infer much more information from the picture.


Is AI research headed in the right direction?

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This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding artificial intelligence. In 1956, researchers at Dartmouth College coined the term "artificial intelligence," a field of science that aims to enable machines to replicate the capabilities of the human mind. AI pioneers believed at the time that in short time, "machines will be capable… of doing any work a man can do." For decades, AI scientists and researchers have been trying to recreate the logic and functionalities of the human brain. And for decades, they have dismayed themselves and the general public.


What is artificial general intelligence (general AI/AGI)?

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This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. From ancient mythology to modern science fiction, humans have been dreaming of creating artificial intelligence for millennia. But the endeavor of synthesizing intelligence only began in earnest in the late 1950s, when a dozen scientists gathered in Dartmouth College, NH, for a two-month workshop to create machines that could "use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves." The workshop marked the official beginning of AI history. But as the two-month effort--and many others that followed--only proved that human intelligence is very complicated, and the complexity becomes more evident as you try to replicate it.