212 citations · 479 across the 14 of their papers we have counts for
4 papers · 1 filter
Low-Power Low-Latency Keyword Spotting and Adaptive Control with a SpiNNaker 2 Prototype and Comparison with Loihi
Yexin Yan, Terrence C. Stewart, Xuan Choo +7
We implemented two neural network based benchmark tasks on a prototype chip of the second-generation SpiNNaker (SpiNNaker 2) neuromorphic system: keyword spotting and adaptive robo…
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…