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Showing 1–4 of 4 results
Advanced filters: Author: Sadique Sheik Clear advanced filters

  • Mimicking high-level abstraction of the brain to achieve energy advantages is a fundamental issue in neuromorphic computing. Here, the authors fabricate an asynchronous chip and demonstrate a high-accuracy neuromorphic system with power consumption of 0.7mW.

    • Man Yao
    • Ole Richter
    • Guoqi Li
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-18

  • Neuromorphic processors for commercial success require facing challenges in methods for programming neuromorphic applications and deployment at scale. Here, the authors discuss the pathways towards widespread consumer adoption of neuromorphic technology in relation to academia and industry.

    • Dylan Richard Muir
    • Sadique Sheik
    ReviewsOpen Access
    Nature Communications
    Volume: 16, P: 1-12

  • Brain-inspired neuromorphic algorithms and systems have shown essential advance in efficiency and capabilities of AI applications. In this Perspective, the authors introduce NeuroBench, a benchmark framework for neuromorphic approaches, collaboratively designed by researchers across industry and academia.

    • Jason Yik
    • Korneel Van den Berghe
    • Vijay Janapa Reddi
    ReviewsOpen Access
    Nature Communications
    Volume: 16, P: 1-24