37 citations · 47 across the 4 of their papers we have counts for
3 papers · 1 filter
Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware
Peter Blouw, Gurshaant Malik, Benjamin Morcos +2
Keyword spotting (KWS) provides a critical user interface for many mobile and edge applications, including phones, wearables, and cars. As KWS systems are typically 'always on', ma…
Nengo and low-power AI hardware for robust, embedded neurorobotics
Travis DeWolf, Pawel Jaworski, Chris Eliasmith
In this paper we demonstrate how the Nengo neural modeling and simulation libraries enable users to quickly develop robotic perception and action neural networks for simulation on…
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions
Aaron R. Voelker, Daniel Rasmussen, Chris Eliasmith
The machine learning community has become increasingly interested in the energy efficiency of neural networks. The Spiking Neural Network (SNN) is a promising approach to energy-ef…