research
∙
06/10/2023
RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge
Deep Neural Network (DNN) based inference at the edge is challenging as ...
share
research
∙
04/27/2023
Neuromorphic Computing with AER using Time-to-Event-Margin Propagation
Address-Event-Representation (AER) is a spike-routing protocol that allo...
research
∙
04/24/2023
Multiplierless In-filter Computing for tinyML Platforms
Wildlife conservation using continuous monitoring of environmental facto...
research
∙
09/15/2022
Theroretical Insight into Batch Normalization: Data Dependant Auto-Tuning of Regularization Rate
Batch normalization is widely used in deep learning to normalize interme...
research
∙
05/11/2022
Process, Bias and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning
Analog computing is attractive compared to digital computing due to its ...
research
∙
02/10/2022
CMOS Circuits for Shape-Based Analog Machine Learning
While analog computing is attractive for implementing machine learning (...
research
∙
09/11/2021
In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers
We present a novel in-filter computing framework that can be used for de...
research
∙
06/03/2021
Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices
We present a novel framework for designing multiplierless kernel machine...
research
∙
05/10/2021
Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data
Event cameras are activity-driven bio-inspired vision sensors, thereby r...
research
∙
10/22/2020
Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement
Particle filtering is a recursive Bayesian estimation technique that has...
research
∙
02/27/2020
A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation
The ability to attend to salient regions of a visual scene is an innate ...
research
∙
02/27/2020
A Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation
The ability to attend to salient regions of a visual scene is an innate ...
research
∙
12/18/2019
Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware
Every day around the world, interminable terabytes of data are being cap...
research
∙
11/21/2019
EvAn: Neuromorphic Event-based Anomaly Detection
Event-based cameras are bio-inspired novel sensors that asynchronously r...
research
∙
10/05/2019
Multiplierless and Sparse Machine Learning based on Margin Propagation Networks
The new generation of machine learning processors have evolved from mult...
research
∙
05/24/2019
A Compressive Sensing Video dataset using Pixel-wise coded exposure
Manifold amount of video data gets generated every minute as we read thi...
research
∙
05/23/2018
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain
Neuromorphic engineering (NE) encompasses a diverse range of approaches ...
research
∙
03/08/2018
An FPGA-based Massively Parallel Neuromorphic Cortex Simulator
This paper presents a massively parallel and scalable neuromorphic corte...
research
∙
03/13/2016
A Stochastic Approach to STDP
We present a digital implementation of the Spike Timing Dependent Plasti...
research
∙
09/03/2015
A Reconfigurable Mixed-signal Implementation of a Neuromorphic ADC
We present a neuromorphic Analogue-to-Digital Converter (ADC), which use...
research
∙
09/03/2015
A compact aVLSI conductance-based silicon neuron
We present an analogue Very Large Scale Integration (aVLSI) implementati...
research
∙
07/21/2015
A neuromorphic hardware architecture using the Neural Engineering Framework for pattern recognition
We present a hardware architecture that uses the Neural Engineering Fram...
research
∙
07/10/2015
A Trainable Neuromorphic Integrated Circuit that Exploits Device Mismatch
Random device mismatch that arises as a result of scaling of the CMOS (c...
research
∙
05/11/2015
An Online Learning Algorithm for Neuromorphic Hardware Implementation
We propose a sign-based online learning (SOL) algorithm for a neuromorph...
research
∙
03/02/2015
A neuromorphic hardware framework based on population coding
In the biological nervous system, large neuronal populations work collab...
research
∙
03/02/2015