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[D] Is neuromorphic hardware the future?

Really inspiring article about why neuromorphic hardware will be the future for intelligence research.

But the fact that computers “think” very differently than our brains do actually gives them an advantage when it comes to tasks like number crunching, while making them decidedly primitive in other areas, such as understanding human speech or learning from experience. If scientists want to simulate a brain that can match human intelligence, let alone eclipse it, they may have to start with better building blocks—computer chips inspired by our brains.

Current artificial intelligence systems still trail the brain when it comes to flexibility and learning ability. “Google’s networks became very good at recognizing images of cats once they were shown 10 million images of cats, but if you show my two-year-old grandson one cat he will recognize cats for the rest of his life,” says Furber.

https://www.the-scientist.com/features/building-a-silicon-brain-65738

submitted by /u/MassivePellfish
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.