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<!DOCTYPE html>
<html prefix="og: http://ogp.me/ns# article: http://ogp.me/ns/article#
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<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Home | Crest Deep</title>
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<meta name="generator" content="Nikola (getnikola.com)">
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<link rel="canonical" href="https://crest-deep.github.io/">
<!--[if lt IE 9]><script src="/assets/js/html5.js"></script><![endif]--><meta name="author" content="Aleksandr Drozd">
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<meta property="og:url" content="https://crest-deep.github.io/">
<meta property="og:description" content="Fast and cost-effective deep learning algorithm platform for video processing in social infrastructure
Deep learning has triggered the rapid expansion of AI industries. Still, we have ">
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<meta property="article:published_time" content="2018-06-01T09:39:34Z">
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<a href="/events/2018.11.sympo/" class="dropdown-item">CREST-Deep Symposium Nov 2018</a>
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<section><h1>
Fast and cost-effective deep learning algorithm platform for video processing in social infrastructure
</h1>
<p>
Deep learning has triggered the rapid expansion of AI industries. Still, we have a lot of difficult problems to solve. For this purpose, we employ a co-design framework in which researchers from different background get together to optimize the system architecture and algorithms simultaneously for deep learning. We believe this co-design framework gives us the next breakthrough to AI research. Our target for this three years is a real-time video analysis system for realizing safe and smart society. Its typical applications include human behavior prediction for auto driving and for surveillance.
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