Most machine learning (ML) systems assume stationary and matching data
d...
We present a scalable in-pixel processing architecture that can reduce t...
To enable learning on edge devices with fast convergence and low memory,...
One approach to meet the challenges of deep lifelong reinforcement learn...
In this paper we present Hyper-Dimensional Reconfigurable Analytics at t...
We examine how the saccade mechanism from biological vision can be used ...