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Showing 1–4 of 4 results
Advanced filters: Author: Loai Danial Clear advanced filters

  • Ilan Oren and colleagues present a synergistic framework that translates gene circuits into energy-efficient electronic circuits, with a focus on data converters. Trade-off analysis reveals that logarithmic encoding optimizes spatial efficiency among power consumption and computational accuracy.

    • Ilan Oren
    • Vishesh Gupta
    • Ramez Daniel
    ResearchOpen Access
    Communications Engineering
    P: 1-14

  • Computational properties of neuronal networks have been applied to computing systems using simplified models comprising repeated connected nodes. Here the authors create layered assemblies of genetically encoded devices that perform non-binary logic computation and signal processing using combinatorial promoters and feedback regulation.

    • Luna Rizik
    • Loai Danial
    • Ramez Daniel
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-17

  • Floating-gate memristive synaptic devices that are fabricated using commercial complementary metal–oxide–semiconductor processes can be used to create energy-efficient restricted Boltzmann machines and deep belief neural networks.

    • Wei Wang
    • Loai Danial
    • Shahar Kvatinsky
    Research
    Nature Electronics
    Volume: 5, P: 870-880