Notes from the Wired

Notes from the Wired

This is a website where I write articles on various topics that interest me, carving out a bit of cyberspace for myself.

You shouldn't believe anything I talk about — I use words entirely recreationally.

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  • Jul. 01

    Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits Paper Title: Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits Link to Paper: https://ieeexplore.ieee.org/document/10323917 Date: 22. November 2023 Paper Type: Neuromorphic Computing, SNN, Printed Electronics, Circuit Design Short Abstract: In this paper, the authors develop a neuromorphic chip model that can be optimized for both accuracy and power usage. Their experiments reveal that the model achieves a 2× reduction in power consumption while maintaining 95% accuracy. 1. Introduction See Analog Printed Spiking Neuromorphic Circuit and Highly-Bespoke Robust Printed Neuromorphic Circuits for a more general introduction.
  • Jun. 30

    Highly-Bespoke Robust Printed Neuromorphic Circuits Info It’s been a while since I listened to the lecture on Computer Organization, which covers circuits and related topics. As a result, I’m a bit rusty, and it’s more likely than usual that I got something wrong in this paper. Please keep that in mind while reading. Paper Title: Highly-Bespoke Robust Printed Neuromorphic Circuits Link to Paper: https://publikationen.bibliothek.kit.edu/1000156490 Date: 06. March 2023 Paper Type: Neuromorphic Computing, SNN, Printed Electronics, Circuit Design Short Abstract: In this paper, the authors propose to expand P-SNN with learnable activation functions and variation-aware training that accounts for manufacturing differences in the printing method
  • Jun. 29

    Analog Printed Spiking Neuromorphic Circuit Info It’s been a while since I listened to the lecture on Computer Organization, which covers circuits and related topics. As a result, I’m a bit rusty, and it’s more likely than usual that I got something wrong in this paper. Please keep that in mind while reading. Paper Title: Analog Printed Spiking Neuromorphic Circuit Link to Paper: https://core.ac.uk/download/pdf/596774544.pdf Date: 25. March 2024 Paper Type: Neuromorphic Computing, SNN, Printed Electronics, Circuit Design Short Abstract: This paper introduces a novel design for an Analog Printed Spiking Neural Network (P-SNN) using printed electronics, aimed at creating a low-power and efficient neuromorphic system.