Embedded AI Biweekly Briefing (2017-07-24)
Click the link at the end of the article to read the original text and jump to our biweekly briefing homepage, where you can read the version with item hyperlinks.
Industry News
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OpenBLAS releases version 0.2.20 
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Clarifai launches SDK for training AI on your iPhone | VentureBeat 
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We ported CAFFE to HIP – and here’s what happened… | GPUOpen 
Research Papers
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[1707.01083] ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices 
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[1608.06993] Densely Connected Convolutional Networks 
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[1707.01209] Model compression as constrained optimization, with application to neural nets. Part I: general framework 
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[1707.04319] Model compression as constrained optimization, with application to neural nets. Part II: quantization 
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[1707.03718] LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation 
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[1707.06342] ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression 
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[1707.04693] Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration 
Open Source Projects
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Caffe2-iOS demo 
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Tencent/ncnn: ncnn is a high-performance neural network inference framework optimized for the mobile platform 
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jiaxiang-wu/quantized-cnn: An efficient framework for convolutional neural networks 
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KimDarren/FaceCropper: Crop faces, inside of your image, with iOS 11 Vision API. 
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csarron/emdl: Embedded and mobile deep learning research resources 
Blog Posts
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Deep Learning Framework Development Based on OpenGL ES – jxt1234and2010’s Column 
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Application and Reflection of Deep Learning Technology – Blog – Yunqi Community – Alibaba Cloud 
Hardware Acceleration
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Decoding Another xPU: Graphcore’s IPU | Tang Shan StarryHeavensAbove 
Editor: Zhang Xianyi, Yuan Shuai
Click the link at the end of the article to read the original text and jump to our biweekly briefing homepage, where you can read the version with item hyperlinks.