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“Anything small you need to be smart and powerful. The key is teaching the chip to learn and then apply it. One thing that differentiates us is we’re looking at learning on the chip,” Taha said. “We want to make these systems more autonomous, or independent of outside systems.”
“Deep learning” artificial intelligence chips are used in self-driving cars and could potentially be used in robots in the future, Taha said.
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The U.S. Postal Service already uses these type of computer chips to recognize handwritten digits. Taha said the chips are part of an emerging multi-billion dollar industry, which in the future could be ramped up to develop networks for applications such as Google voice translation.
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