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Showing 1–2 of 2 results
Advanced filters: Author: Simon Haefeli Clear advanced filters

  • Designing deep learning inference hardware based on in-memory computing remains a challenge. Here, the authors propose a strategy to train ResNet-type convolutional neural networks which results in reduced accuracy loss when transferring weights to in-memory computing hardware based on phase-change memory.

    • Vinay Joshi
    • Manuel Le Gallo
    • Evangelos Eleftheriou
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-13

  • Combined analysis of proton-proton collision data from the Large Hadron Collider at CERN by the CMS and LHCb collaborations leads to the observation of the extremely rare decay of the strange B meson into muons; the result is compatible with the standard model of particle physics, and does not show any signs of new physics, such as supersymmetry.

    • V. Khachatryan
    • A.M. Sirunyan
    • E. Pesen
    ResearchOpen Access
    Nature
    Volume: 522, P: 68-72