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07/01/2022
DRESS: Dynamic REal-time Sparse Subnets
The limited and dynamically varied resources on edge devices motivate us...
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06/08/2022
Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications
Low-Power Edge-AI capabilities are essential for on-device extended real...
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03/14/2022
Distributed On-Sensor Compute System for AR/VR Devices: A Semi-Analytical Simulation Framework for Power Estimation
Augmented Reality/Virtual Reality (AR/VR) glasses are widely foreseen as...
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03/09/2022
Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks
Deploying Deep Neural Networks in low-power embedded devices for real ti...
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05/07/2019
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks
In this era of machine learning models, their functionality is being thr...
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03/15/2019
Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures
Spiking Neural Networks (SNNs) has recently emerged as a prominent neura...
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12/07/2017
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing
Deep convolutional neural network (DCNN) based supervised learning is a ...
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05/12/2017
Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks
Convolutional Neural Networks (CNN) are being increasingly used in compu...
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02/27/2016
Multiplier-less Artificial Neurons Exploiting Error Resiliency for Energy-Efficient Neural Computing
Large-scale artificial neural networks have shown significant promise in...
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02/27/2016
