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Showing 1–8 of 8 results
Advanced filters: Author: Jason Eshraghian Clear advanced filters

  • We invited authors of selected Comments and Perspectives published in Nature Machine Intelligence in the latter half of 2019 and first half of 2020 to describe how their topic has developed, what their thoughts are about the challenges of 2020, and what they look forward to in 2021.

    • Anna Jobin
    • Kingson Man
    • Miguel Luengo-Oroz
    Special Features
    Nature Machine Intelligence
    Volume: 3, P: 2-8

  • Combinatorial Optimization problems can be solved by investigating the ground states of particular Ising models. Here, the authors developed a neuromorphic architecture to ensure asymptotic convergence to the ground state of an Ising problem and to consistently produce high-quality solutions.

    • Zihao Chen
    • Zhili Xiao
    • Shantanu Chakrabartty
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-13

  • 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

  • According to a recent study, a small network consisting of four leaky integrate-and-fire neurons can reproduce the behavior of a single Hodgkin–Huxley neuron, thereby bridging the gap between endogenous and exogenous complexity.

    • Rui-Jie Zhu
    • Skye Gunasekaran
    • Jason Eshraghian
    News & Views
    Nature Computational Science
    Volume: 4, P: 559-560

  • As artists are beginning to employ deep learning techniques to create new and interesting art, questions arise about how copyright and ownership apply to those works. This Perspective discusses how artists, programmers and users can ensure clarity about the ownership of their creations.

    • Jason K. Eshraghian
    Reviews
    Nature Machine Intelligence
    Volume: 2, P: 157-160