Search Results - "Chandarana, Peyton"

APTPU: Approximate Computing Based Tensor Processing Unit by Elbtity, Mohammed E., Chandarana, Peyton S., Reidy, Brendan, Eshraghian, Jason K., Zand, Ramtin

“…We propose an approximate tensor processing unit (APTPU), which includes two main components: (1) approximate processing elements (APEs) consisting of a…”
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Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study by Corbett, Cynthia F, Combs, Elizabeth M, Chandarana, Peyton S, Stringfellow, Isabel, Worthy, Karen, Nguyen, Thien, Wright, Pamela J, O'Kane, Jason M

“…Medication nonadherence is a global public health challenge that results in suboptimal health outcomes and increases health care costs. Forgetting to take…”
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Correction: Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study by Corbett, Cynthia F, Combs, Elizabeth M, Chandarana, Peyton S, Stringfellow, Isabel, Worthy, Karen, Nguyen, Thien, Wright, Pamela J, O'Kane, Jason M

“…[This corrects the article DOI: .]…”
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Static hand gesture recognition for American sign language using neuromorphic hardware by Mohammadi, Mohammadreza, Chandarana, Peyton, Seekings, James, Hendrix, Sara, Zand, Ramtin

“…In this paper, we develop four spiking neural network (SNN) models for two static American sign language (ASL) hand gesture classification tasks, i.e., the ASL…”
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Flex-TPU: A Flexible TPU with Runtime Reconfigurable Dataflow Architecture by Elbtity, Mohammed, Chandarana, Peyton, Zand, Ramtin

“…Tensor processing units (TPUs) are one of the most well-known machine learning (ML) accelerators utilized at large scale in data centers as well as in tiny ML…”
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Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware by Seekings, James, Chandarana, Peyton, Ardakani, Mahsa, Mohammadi, MohammadReza, Zand, Ramtin

“…This paper explores the synergistic potential of neuromorphic and edge computing to create a versatile machine learning (ML) system tailored for processing…”
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An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks by Chandarana, Peyton, Ou, Junlin, Zand, Ramtin

“…Current state-of-the-art methods of image classification using convolutional neural networks are often constrained by both latency and power consumption. This…”
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Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware by Chandarana, Peyton, Mohammadi, Mohammadreza, Seekings, James, Zand, Ramtin

“…As the technology industry is moving towards implementing tasks such as natural language processing, path planning, image classification, and more on smaller…”
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An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks by Chandarana, Peyton, Ou, Junlin, Zand, Ramtin

“…Current state-of-the-art methods of image classification using convolutional neural networks are often constrained by both latency and power consumption. This…”
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Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware by Chandarana, Peyton, Mohammadi, Mohammadreza, Seekings, James, Zand, Ramtin

“…As the technology industry is moving towards implementing tasks such as natural language processing, path planning, image classification, and more on smaller…”
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Static Hand Gesture Recognition for American Sign Language using Neuromorphic Hardware by Mohammadi, MohammadReza, Chandarana, Peyton, Seekings, James, Hendrix, Sara, Zand, Ramtin

“…In this paper, we develop four spiking neural network (SNN) models for two static American Sign Language (ASL) hand gesture classification tasks, i.e., the ASL…”
Get full text