3 papers
eess.AS2021
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification
Vivek Saraswat, Ajinkya Gorad, Anand Naik +2
Liquid State Machines are brain inspired spiking neural networks (SNNs) with random reservoir connectivity and bio-mimetic neuronal and synaptic models. Reservoir computing network…
cs.LG2019
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS
Sumon Kumar Bose, Bapi Kar, Mohendra Roy +4
To overcome the energy and bandwidth limitations of traditional IoT systems, edge computing or information extraction at the sensor node has become popular. However, now it is impo…
cs.ET2015
Hardware Architecture for Large Parallel Array of Random Feature Extractors applied to Image Recognition
Aakash Patil, Shanlan Shen, Enyi Yao +1
We demonstrate a low-power and compact hardware implementation of Random Feature Extractor (RFE) core. With complex tasks like Image Recognition requiring a large set of features,…