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02/28/2023
Tracking Fast by Learning Slow: An Event-based Speed Adaptive Hand Tracker Leveraging Knowledge in RGB Domain
3D hand tracking methods based on monocular RGB videos are easily affect...
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11/19/2022
Intelligence Processing Units Accelerate Neuromorphic Learning
Spiking neural networks (SNNs) have achieved orders of magnitude improve...
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03/14/2022
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions
In this paper, we reviewed Spiking neural network (SNN) integrated circu...
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02/24/2022
A 915-1220 TOPS/W Hybrid In-Memory Computing based Image Restoration and Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS
In this work, we present a hybrid memory bit cell - collocated SRAM and ...
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08/03/2021
DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device
EdgeML accelerators like Intel Neural Compute Stick 2 (NCS) can enable e...
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07/25/2021
A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS
Neuromorphic vision sensors (NVS) can enable energy savings due to their...
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06/23/2021
Prospects for Analog Circuits in Deep Networks
Operations typically used in machine learning al-gorithms (e.g. adds and...
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08/21/2020
ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing
In this paper, we present a low-power anomaly detection integrated circu...
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07/21/2020
A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems
Deep learning inference that needs to largely take place on the 'edge' i...
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05/31/2020
EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors
In this paper, we present a hybrid event-frame approach for detecting an...
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04/16/2020
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning
The primary objective of this paper is to build classification models an...
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03/23/2020
A 75kb SRAM in 65nm CMOS for In-Memory Computing Based Neuromorphic Image Denoising
This paper presents an in-memory computing (IMC) architecture for image ...
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03/19/2020
HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture
Applications in the Internet of Video Things (IoVT) domain have very tig...
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02/27/2020
Is my Neural Network Neuromorphic? Taxonomy, Recent Trends and Future Directions in Neuromorphic Engineering
In this paper, we review recent work published over the last 3 years und...
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12/04/2019
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS
To overcome the energy and bandwidth limitations of traditional IoT syst...
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10/22/2019
A low-power end-to-end hybrid neuromorphic framework for surveillance applications
With the success of deep learning, object recognition systems that can b...
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10/04/2019
EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT Using Stationary Neuromorphic Vision Sensors
In this paper, we present EBBIOT-a novel paradigm for object tracking us...
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02/26/2019
Spiking Neural Network based Region Proposal Networks for Neuromorphic Vision Sensors
This paper presents a three layer spiking neural network based region pr...
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12/13/2018
A 0.16pJ/bit Recurrent Neural Network Based PUF for Enhanced Machine Learning Atack Resistance
Physically Unclonable Function (PUF) circuits are finding widespread use...
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12/10/2018
Real-time Closed Loop Neural Decoding on a Neuromorphic Chip
This paper presents for the first time a real-time closed loop neuromorp...
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10/19/2018
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring
Condition monitoring is one of the routine tasks in all major process in...
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02/25/2018
Power efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application
In this paper authors have presented a power efficient scheme for implem...
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04/19/2016
An Online Structural Plasticity Rule for Generating Better Reservoirs
In this article, a novel neuro-inspired low-resolution online unsupervis...
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12/24/2015
Hardware Architecture for Large Parallel Array of Random Feature Extractors applied to Image Recognition
We demonstrate a low-power and compact hardware implementation of Random...
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12/04/2015
An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks
In this article, we propose a novel Winner-Take-All (WTA) architecture e...
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12/03/2015
Triplet Spike Time Dependent Plasticity: A floating-gate Implementation
Synapse plays an important role of learning in a neural network; the lea...
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06/17/2015
Learning Spike time codes through Morphological Learning with Binary Synapses
In this paper, a neuron with nonlinear dendrites (NNLD) and binary synap...
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11/06/2013