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  <created>1555590923</created>
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  <title><![CDATA[Bringing Deep Learning to Life]]></title>
  <body><![CDATA[<p><strong>&nbsp;Abstract: </strong>Many people say that Deep Learning will have a similar impact on humanity as that of electricity. In this talk, we will look at the origins of Deep Learning and the current state of the industry with respect to the design of chips to support this new type of computation. We will finish up with some thoughts on the challenges that have to be overcome in order to make Deep Learning a safe and effective part of our daily lives.</p>

<p><strong>Biography: </strong>Ty Garibay is currently VP of Engineering at Mythic, a venture funded startup developing a low-power neural network inference engine based on analog computing. Previously, Ty has led IC development at Altera, TI and ARM. In the good old days, Ty led the architecture design of many microprocessors, including 68K, x86, MIPS, ARM and others. He holds 30+ patents in various fields of IC design and test, and has a BSEE from Southern Methodist University.</p>
]]></body>
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      <value><![CDATA[In this talk, we will look at the origins of Deep Learning and the current state of the industry with respect to the design of chips to support this new type of computation.]]></value>
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      <value><![CDATA[2019-04-22T11:00:00-04:00]]></value>
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      <value><![CDATA[<p>mbakir@ece.gatech.edu</p>
]]></value>
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      <value><![CDATA[(404)894-5100]]></value>
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      <email><![CDATA[mbakir@ece.gatech.edu]]></email>
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