The goal of neuromorphic computing is simple: mimic the neural structure of the brain. Meet the current generation of computer chips that’s getting closer to reaching this not-so-simple goal.
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The central processing unit, or CPU, that’s the key to making your home computer work is often likened to a brain, but the truth is it’s nothing like the brains found in nature or in our skulls.
CPUs are great at performing precise calculations with huge numbers, but when it comes to learning and abstraction, the thinky meat between our ears has the CPU licked.
An emerging field of artificial intelligence called neuromorphic computing is attempting to mimic how the neurons in our own brains work, and researchers from Intel and IBM are making true silicon brains a reality.
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Brain-like computer chips are a totally wild concept. And they might just be the future of AI
"Current neuromorphic systems primarily use silicon-based superconducting neural networks that the authors write are set to far surpass their energy limit by 2040 at their current rate."
Intel inks agreement with Sandia National Laboratories to explore neuromorphic computing
"Along with Intel, researchers at IBM, HP, MIT, Purdue, and Stanford hope to leverage neuromorphic computing — circuits that mimic the nervous system’s biology — to develop supercomputers 1,000 times more powerful than any today."
What neuromorphic engineering is, and why it’s triggered an analog revolution
"Both literally and practically, "neuromorphic" means "taking the form of the brain." The key word here is "form," mainly because so much of AI research deals with simulating, or at least mimicking, the function of the brain."
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