Neuromorphic Computing

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• Processing Units - CPU, GPU, APU, TPU, VPU, FPGA, QPU
• Neuroscience
• Connecting Brains
• Temporal Computing
• Architectures
• 'Brain-Like' Supercomputers Could Enable Better Defense Decision-Making: TrueNorth; "neuromorphic" chip | IBM - U.S. Department of Defense

Neuromorphic computing is a radical new approach to information processing for artificial intelligence where, instead of using digital electronics, inspiration is taken from the brain to develop entirely new electronic circuits and architectures. In order to mimic brain activity in the most energy efficient way, it is advantageous to introduce new electronic devices that model directly neurological elements like synapses and neurons. NIST

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