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Does Deep Blue use machine learning?
While certainly AI, Deep Blue relied less on machine learning than current systems do. Big data was in its infancy, and the hardware couldn’t have supported large networks anyway. Deep Blue was essentially a hybrid, a general-purpose supercomputer processor outfitted with chess accelerator chips.
What algorithm did Deep Blue use?
alpha-beta search algorithm
Deep Blue used custom VLSI chips to execute the alpha-beta search algorithm in parallel, an example of GOFAI (Good Old-Fashioned Artificial Intelligence). The system derived its playing strength mainly from brute force computing power.
Did Deep Blue use reinforcement learning?
Well, it uses a learning technique called Reinforcement Learning. Basically, in the case of Go, it starts off as a very bad Go player. It starts to play games against itself. It does, however, see which move leads to a win or a lose at the end of the game!
Is AlphaGo a machine learning?
As of 2016, AlphaGo’s algorithm uses a combination of machine learning and tree search techniques, combined with extensive training, both from human and computer play. The system’s neural networks were initially bootstrapped from human gameplay expertise.
Can Magnus Carlsen beat a computer?
A computer can analyze billions of possibilities and billions of positions ahead. Despite his chess genius, Carlsen cannot compare to that kind of analytical power. He could, perhaps, beat a computer in one-off games but he wouldn’t be able to do it consistently.
What was the purpose of IBM Deep Blue?
While Deep Blue did use machine learning approaches, it relied primarily on a programmed understanding of the game of chess – 64 squares, 32 pieces and well-defined moves and goals. IBM Deep Blue team members wheel the system through the streets of New York City to Rockefeller Center at 4:00AM, May 11, 1997.
What kind of artificial intelligence is deep blue?
Deep Blue was an example of so-called “artificial intelligence” achieved through “brute force,” the super-human calculating speed that has been the hallmark of digital computers since they were invented in the 1940s.
What did deep blue show us about computers?
Deep Blue showed the capabilities of a computer geared to a certain task, but to date, nobody has made a generalized machine learning system that works as well as a purpose-built computer. For example, computers can be very good at crunching lots of data and finding patterns that humans would miss.
How did the Deep Blue chess machine think?
The machine approached chess by looking ahead many moves and going through possible combinations — a strategy known as a “decision tree” (think of each decision describing a branch of a tree).