Previous games like chess and go have often been litmus tests for AI, but RIT explained to us why StarCraft was the next logical choice for them to try the artificial intelligence. This makes board games ideal to test a AI’s efficacy there are only a limited number of moves, and layouts, even if they’re very complicate games. This is different than how humans learn, which is incrementally. To “program” neural network AIs, Kanan says that you have to introduce it to a massive amount of data at once, and then the machine learns it all. He says that “AI” is a very loosely defined term, but he says in this context it’s computing whose infrastructure is modeled on the neural patterns of our brain: one neuron connects to the other, and take information from each other.Ĭompare that to a more typical computing program that has two switches, on or off, to run algorithms to complete programs.
RIT researcher Christopher Kanan - who specializes in creating optimized algorithms to expedite the learning of these machines - says this technology is already in use today in search engines, and other products.
The team behind the project says that once it’s complete, this could serve stepping stone to advance technologies like self-driving cars and service robots, among other real world applications. (WROC) - A team of researchers at RIT are helping to develop artificial intelligence capable of playing the popular strategy-based video game “Starcraft II.”
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