SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing

1 code implementation • 4 May 2023 • Prasanna Date, Chathika Gunaratne, Shruti Kulkarni, Robert Patton, Mark Coletti, Thomas Potok

Currently available simulators are catered to either neuroscience workflows (such as NEST and Brian2) or deep learning workflows (such as BindsNET).

Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron

no code implementations • 15 Aug 2022 • Prasanna Date, Shruti Kulkarni, Aaron Young, Catherine Schuman, Thomas Potok, Jeffrey Vetter

They are expected to be indispensable for energy-efficient computing in the future.

Neuromorphic Computing is Turing-Complete

no code implementations • 28 Apr 2021 • Prasanna Date, Catherine Schuman, Bill Kay, Thomas Potok

Given that the {\mu}-recursive functions and operators are precisely the ones that can be computed using a Turing machine, this work establishes the Turing-completeness of neuromorphic computing.

Autonomous Vehicles BIG-bench Machine Learning +1

Adiabatic Quantum Linear Regression

no code implementations • 5 Aug 2020 • Prasanna Date, Thomas Potok

A major challenge in machine learning is the computational expense of training these models.

BIG-bench Machine Learning regression