Difference between revisions of "Neuromorphic Computing"
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* [[Architectures]] | * [[Architectures]] | ||
* [http://www.defense.gov/News/Article/Article/1275214/brain-like-supercomputers-could-enable-better-defense-decision-making/ 'Brain-Like' Supercomputers Could Enable Better Defense Decision-Making: TrueNorth; "neuromorphic" chip | IBM - U.S. Department of Defense] | * [http://www.defense.gov/News/Article/Article/1275214/brain-like-supercomputers-could-enable-better-defense-decision-making/ 'Brain-Like' Supercomputers Could Enable Better Defense Decision-Making: TrueNorth; "neuromorphic" chip | IBM - U.S. Department of Defense] | ||
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| + | Neuromorphic frameworks incorporate radically different chip designs and algorithms to mimic the way the human brain works—while consuming only a fraction of the energy of today's microprocessors. The computing model takes direct aim at the inefficiencies of existing computing frameworks—namely the von Neumann bottleneck—which forces a processor to remain idle while it waits for data to move to and from memory and other components. This causes slow-downs and limits more advanced uses. [http://cacm.acm.org/magazines/2020/8/246356-neuromorphic-chips-take-shape/fulltext Neuromorphic Chips Take Shape | Samuel Greengard - Communications of the ACM] | ||
<youtube>NM7hdDZN2YI</youtube> | <youtube>NM7hdDZN2YI</youtube> | ||
Revision as of 22:02, 28 July 2020
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- Processing Units - CPU, GPU, APU, TPU, VPU, FPGA, QPU
- Neuroscience
- Connecting Brains
- Architectures
- 'Brain-Like' Supercomputers Could Enable Better Defense Decision-Making: TrueNorth; "neuromorphic" chip | IBM - U.S. Department of Defense
Neuromorphic frameworks incorporate radically different chip designs and algorithms to mimic the way the human brain works—while consuming only a fraction of the energy of today's microprocessors. The computing model takes direct aim at the inefficiencies of existing computing frameworks—namely the von Neumann bottleneck—which forces a processor to remain idle while it waits for data to move to and from memory and other components. This causes slow-downs and limits more advanced uses. Neuromorphic Chips Take Shape | Samuel Greengard - Communications of the ACM
