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Another common definition is “the science and engineering of making intelligent machines.” They are full of electronic components that allow them to receive input from the world around them, process that information in some way, and produce an output.Īrtificial intelligence can be broadly defined as making a machine behave in ways that would ordinarily require human intelligence, such as understanding natural language and recognizing objects. But on the inside, they are very different from other inert objects. They don’t look like they’re alive, and they don’t appear to be aware of their surroundings. Most digital computing machines behave similarly to rocks on the outside. What about a rock? Most would say no because it doesn’t appear to do anything at all, nor learn or understand new things.

So, is a worm intelligent? Some might say yes because it can find its way around obstacles. But in general, it can be described as the ability to learn and understand new things and apply that knowledge in a wide variety of ways. Many artificial intelligence experts still can’t completely agree on what human-like intelligence is. What is Artificial Intelligence?īefore we define AI, we need to understand the concept of intelligence. Today, we revisit the Turing Test and explore what Eugene Goostman’s success might mean for the future of artificial intelligence (AI). The simple five-minute questioning proved to be revolutionary. This result was announced on Saturday, June 7, 2014.

To try and scientifically measure human-like intelligence, Alan Turing proposed the Turing Test in 1950.Ī computer program called Eugene Goostman, which simulates a 13-year-old Ukrainian boy, is said to have passed the Turing test at an event organized by the University of Reading. Many don’t agree on the definition of intelligence for a living being, let alone computing machinery. Advertisements The philosophical question of intelligence is a concept that has long baffled thinkers and scientists alike.

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