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06/12/2023
Deep denoising autoencoder-based non-invasive blood flow detection for arteriovenous fistula
Clinical guidelines underscore the importance of regularly monitoring an...
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12/07/2022
SDRM3: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads
Emerging real-time multi-model ML (RTMM) workloads such as AR/VR and dro...
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11/01/2021
HRViT: Multi-Scale High-Resolution Vision Transformer
Vision transformers (ViTs) have attracted much attention for their super...
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07/10/2018
Eyeriss v2: A Flexible and High-Performance Accelerator for Emerging Deep Neural Networks
The design of DNNs has increasingly focused on reducing the computationa...
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03/27/2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Deep neural networks (DNNs) are currently widely used for many artificia...
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03/17/2017
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision
Computer vision enables a wide range of applications in robotics/drones,...
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12/22/2016
Hardware for Machine Learning: Challenges and Opportunities
Machine learning plays a critical role in extracting meaningful informat...
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11/16/2016
