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02/22/2023
Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AI
There has been a surge in Explainable-AI (XAI) methods that provide insi...
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10/19/2022
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge
There has been a recent surge in the field of Explainable AI (XAI) which...
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07/21/2022
Fusing Frame and Event Vision for High-speed Optical Flow for Edge Application
Optical flow computation with frame-based cameras provides high accuracy...
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09/16/2021
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning
Present-day Deep Reinforcement Learning (RL) systems show great promise ...
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03/11/2021
Multi-Task Federated Reinforcement Learning with Adversaries
Reinforcement learning algorithms, just like any other Machine learning ...
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11/12/2020
EM-X-DL: Efficient Cross-Device Deep Learning Side-Channel Attack with Noisy EM Signatures
This work presents a Cross-device Deep-Learning based Electromagnetic (E...
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09/13/2020
A Survey of FPGA-Based Robotic Computing
Recent researches on robotics have shown significant improvement, spanni...
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08/25/2020
Masked Face Recognition for Secure Authentication
With the recent world-wide COVID-19 pandemic, using face masks have beco...
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08/15/2020
Breaking Barriers: Maximizing Array Utilization for Compute In-Memory Fabrics
Compute in-memory (CIM) is a promising technique that minimizes data tra...
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06/08/2020
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning
We develop a mathematical framework for solving multi-task reinforcement...
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06/04/2020
Counting Cards: Exploiting Weight and Variance Distributions for Robust Compute In-Memory
Compute in-memory (CIM) is a promising technique that minimizes data tra...
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04/11/2020
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network
Learning how to walk is a sophisticated neurological task for most anima...
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03/22/2020
Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation
Learning to walk – i.e., learning locomotion under performance and energ...
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11/09/2019
Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices
Deep neural networks (DNNs) have been emerged as the state-of-the-art al...
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10/12/2019
Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning
Smart and agile drones are fast becoming ubiquitous at the edge of the c...
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08/25/2019
SCNIFFER: Low-Cost, Automated, Efficient Electromagnetic Side-Channel Sniffing
Electromagnetic (EM) side-channel analysis (SCA) is a prominent tool to ...
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08/12/2019
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator
In this letter, we quantify the impact of device limitations on the clas...
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04/22/2019
Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous Drones
In this paper we present an algorithm-hardware codesign for camera-based...
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02/19/2019
Appearance-based Gesture recognition in the compressed domain
We propose a novel appearance-based gesture recognition algorithm using ...
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01/30/2019
Direct Feedback Alignment with Sparse Connections for Local Learning
Recent advances in deep neural networks (DNNs) owe their success to trai...
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07/22/2018
NAVREN-RL: Learning to fly in real environment via end-to-end deep reinforcement learning using monocular images
We present NAVREN-RL, an approach to NAVigate an unmanned aerial vehicle...
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08/16/2017
Stochastic IMT (insulator-metal-transition) neurons: An interplay of thermal and threshold noise at bifurcation
A stochastic neuron, a key hardware kernel for implementing stochastic n...
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05/26/2016