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03/17/2021
Collapsible Linear Blocks for Super-Efficient Super Resolution
With the advent of smart devices that support 4K and 8K resolution, Sing...
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10/23/2019
EdgeAI: A Vision for Deep Learning in IoT Era
The significant computational requirements of deep learning present a ma...
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05/17/2019
Dream Distillation: A Data-Independent Model Compression Framework
Model compression is eminently suited for deploying deep learning on IoT...
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06/20/2018
Rethinking Machine Learning Development and Deployment for Edge Devices
Machine learning (ML), especially deep learning is made possible by the ...
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06/02/2018
Federated Learning with Non-IID Data
Federated learning enables resource-constrained edge compute devices, su...
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01/19/2018
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
Deep Neural Networks are becoming increasingly popular in always-on IoT ...
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01/12/2018
Not All Ops Are Created Equal!
Efficient and compact neural network models are essential for enabling t...
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12/05/2017
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks
Hardware acceleration of Deep Neural Networks (DNNs) aims to tame their ...
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11/20/2017
Hello Edge: Keyword Spotting on Microcontrollers
Keyword spotting (KWS) is a critical component for enabling speech based...
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03/08/2017
