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Research

Neuromorphic Processors for Artificial Intelligence

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  • Energy & area efficient SNN neuromorphic chips with on-chip learning 

  • On-chip learning algorithms for spiking neural network

Brain-Inspired AI Chips for Sensorimotor Intelligence

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  • Cerebellum-inspired supervised learning chip for autonomous driving application

  • Non-Von Neumann architecture with highly parallel analog computation

  • Hardware-friendly learning algorithms for spiking neural network 

Related information

- 차세대지능형반도체기술개발사업(원천기술개발사업) 최종선정 (2021-2023, 연구비 28.09억, 총괄책임자: 김재욱)

Cell-Inspired Analog Supercomputers 

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  • Cytomorphic (cell-inspired) analog VLSI supercomputing chipsets 

  • Fast and precise emulation of stochastic biochemical reaction networks

  • Computation tools in synthetic biology, systems biology and medicine 

Related links

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