Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–5 of 5 results
Advanced filters: Author: Corey Lammie Clear advanced filters

  • Deploying deep learning models efficiently on heterogeneous hardware remains challenging. Here, authors present a mixed-precision supernetwork that jointly optimizes model mapping and adaptation, enabling faster search, higher accuracy, and improved energy efficiency on analog-digital accelerators.

    • Hadjer Benmeziane
    • Corey Lammie
    • Abu Sebastian
    ResearchOpen Access
    Nature Communications
    P: 1-10

  • Adversarial attacks threaten deep neural networks. Here, authors show analog in-memory computing chips enhance robustness, attributed to stochastic noise properties. This is validated experimentally and in simulations with larger transformer models.

    • Corey Lammie
    • Julian Büchel
    • Abu Sebastian
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-12

  • A kernel approximation method that enables linear-complexity attention computation via analogue in-memory computing (AIMC) to deliver superior energy efficiency is demonstrated on a multicore AIMC chip.

    • Julian Büchel
    • Giacomo Camposampiero
    • Abu Sebastian
    Research
    Nature Machine Intelligence
    Volume: 6, P: 1605-1615

  • Analogue in-memory computing (AIMC), with digital processing, forms a useful architecture for performant end-to-end execution of deep neural network models, but requires the development of sophisticated software stacks. This Perspective outlines the challenges in designing deep learning software stacks for AIMC-based accelerators, and suggests directions for future research.

    • Corey Lammie
    • Hadjer Benmeziane
    • Abu Sebastian
    Reviews
    Nature Reviews Electrical Engineering
    Volume: 2, P: 621-633