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Showing 1–5 of 5 results
Advanced filters: Author: Ahmed M. Eltawil Clear advanced filters

  • By exchanging messages using the human body as a communication medium, human body communication offers a mean to design low-power, miniature Internet of bodies nodes. Accurate channel modelling and low-power strategies are key to HBC widespread adoption.

    • Qi Huang
    • Abdelhay Ali
    • Ahmed M. Eltawil
    Reviews
    Nature Reviews Electrical Engineering
    Volume: 2, P: 374-389

  • Memristors hold promise for massively-parallel computing at low power. Aguirre et al. provide a comprehensive protocol of the materials and methods for designing memristive artificial neural networks with the detailed working principles of each building block and the tools for performance evaluation.

    • Fernando Aguirre
    • Abu Sebastian
    • Mario Lanza
    ReviewsOpen Access
    Nature Communications
    Volume: 15, P: 1-40

  • Hardware-aware neural architecture search (HW-NAS) can be used to design efficient in-memory computing (IMC) hardware for deep learning accelerators. This Review discusses methodologies, frameworks, ongoing research, open issues and recommendations, and provides a roadmap for HW-NAS for IMC.

    • Olga Krestinskaya
    • Mohammed E. Fouda
    • Khaled N. Salama
    Reviews
    Nature Reviews Electrical Engineering
    Volume: 1, P: 374-390

  • The illustration depicts capacitive photoreceptor (CPR) mimicking the rod cell and its functionality simulation. CPRs connected to the sensing circuit followed by a spiking neural network mimics the retina functionality.

    • Mani Teja Vijjapu
    • Mohammed E. Fouda
    • Khaled N. Salama
    ResearchOpen Access
    Light: Science & Applications
    Volume: 11, P: 1-12