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Artificial intelligence: No humor, no coffee

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Playing chess, driving and even composing music – for many decades, skeptics have argued that these skills will never be mastered by robots with artificial intelligence (AI). Today, one hears fundamentally different projections. Futurologist Yury Vizilter, department head at State Research Institute of Aviation Systems, says functional artificial intelligence will be almost complete by 2020: robots capable of performing tasks that remain the privilege of humans are a footstep away from reality. On the other hand, a few skills are still beyond smart machines: the Digital Trends technology portal has counted at least six. Some sound kind of lightweight, but they clearly show that machine intelligence is still far from fully replacing a person.


Artificial intelligence: How to measure the 'I' in AI

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This means that the test favors "program synthesis," the subfield of AI that involves generating programs that satisfy high-level specifications. This approach is in contrast with current trends in AI, which are inclined toward creating programs that are optimized for a limited set of tasks (e.g., playing a single game). In his experiments with ARC, Chollet has found that humans can fully solve ARC tests.


Artificial intelligence: How to measure the "I" in AI

#artificialintelligence

This means that the test favors "program synthesis," the subfield of AI that involves generating programs that satisfy high-level specifications. This approach is in contrast with current trends in AI, which are inclined toward creating programs that are optimized for a limited set of tasks (e.g., playing a single game). In his experiments with ARC, Chollet has found that humans can fully solve ARC tests.


Artificial General Intelligence Is The Next Step In Machine Intelligence Journey

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The journey of Artificial Intelligence started in 1956 when it was founded as academic discipline. One of the pioneers, John McCarthy defined it as "the science and engineering of creating intelligent machines". Though it moved ahead in research and academics, it started gaining commercial traction only when the cost of computation power and storage started falling and network bandwidths allowed cloud computing and storage to become viable. The rise and rise on internet provided multiple use cases for its use. Its most visible application is Machine Learning (ML) which is based on the idea that computers can decipher patterns from data and predict outcomes thereafter.


Humans vs Robots: The Difference Between AI and AGI

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We've all seen the film where robots take over the world, with their mechanical bodies causing Hollywood-style screams from unsuspecting (or maybe very suspecting) victims. And, while these kinds of films let us live an alternate reality for an hour and a half, there's always that niggling thought at the backs of our minds telling us that this could actually happen in the not-too-distant future. In fact, the "father of AI", Alan Turing, was beavering away on it in the 1950s. He developed the Turing Test, which had a judge ask questions to a machine and a human. The judge would then have to decide who was the human and, if the computer could fool the judge at least half of the time, it was considered intelligent.