desinas · December 7, 2017 14:16 · desinas · Dec 7, 2017
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    <meta charset="utf-8">
    <title>Humans vs Machines Blog</title>
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    <!-- This was adapted from: http://blog.udacity.com/2016/03/humans-vs-machines-an-ai-odyssey-2.html -->
    <!-- Format this text to match the mockup exactly! -->
    <h1>Humans vs. Machines: An AI Odyssey</h1>

    <p><i>By <strong>Christopher Watkins</strong></i></p>

    <p><time datetime="2016-03-10">March 10, 2016</time></p>

    <p>
    <em><strong>***Breaking News: AlphaGo has won the first two matches!***</strong> In this,
       the third in our series on the epic Go matches being played between
        AlphaGo (Google’s Artificial Intelligence software) and Lee Se-Dol
         (Current Go World Champion), we look at the history of Humans vs.
          Machines, and the innovations that have led us to this incredible
           moment in time.</em>
    </p>

    <p><img src="http://i2.wp.com/blog.udacity.com/wp-content/uploads/2016/03/56df2490a351d802222160.gif" alt="Some balls
      and Udacity logo running on canvas"></p>

    <p>For as long as humans have built things, we’ve wrestled with the
     implications of what we’ve built. In many cases, these philosophical
      and ethical wrestlings have made for great drama—think Frankenstein, or
       2001: A Space Odyssey. Often, the hypothetical scenarios we envision come
        remarkably close to true, and the discoveries we’ve made in the fields of
         Artificial Intelligence and Machine Learning make clear that a “computer
          with a mind of its own” <s>is going to take over the world</s> not
           such a fantastic thing to imagine any longer.</p>

    <h2>The Triumph Of Deep Blue</h2>

    <p>Perhaps this is why we are so captivated by human vs. machine competitions, because
     the idea of being overcome by that which we’ve created speaks to something very
      deep within our collective consciousness. When IBM’s Deep Blue faced off against
       Garry Kasparov<sup>1</sup>, the event resulted
        in more than <a href="http://www-03.ibm.com/ibm/history/ibm100/us/en/icons/deepblue/">three
           billion impressions</a> around the world, and when IBM’s later creation Watson challenged the
            champions on Jeopardy, millions of viewers were glued to the proceedings.</p>

    <h2>DeepMind’s AlphaGo</h2>

    <p>Taking place right now, there is an event that, while not likely
    to scale the same media heights, may in fact have far greater implications
     when it comes to the future of “intelligent” machines. On March 9, in Seoul, South
      Korea, a computing system know as AlphoGo (built by researchers at DeepMind—a Google
       Artificial Intelligence lab) began <a href="http://venturebeat.com/2016/02/04/youtube-will-livestream-googles-ai-playing-go-superstar-lee-sedol-in-march/">a
          five-game match</a> against Lee Se-dol, one of the very best players in the world at the ancient
           game of Go.</p>
    <p>Why is this so significant?</p>
    <p>Here is how the DeepMind team explained it in their
     paper <a href="http://airesearch.com/wp-content/uploads/2016/01/deepmind-mastering-go.pdf">Mastering the Game of Go with Deep Neural Networks and Tree Search</a>:</p>
    <p><em>The game of Go has long been viewed as the most challenging of classic games
    for artificial intelligence due to its enormous search space and the
    difficulty of evaluating board positions and moves.</em></p>
    <p>Put another way, winning
    at Go is a kind of Holy Grail for those who strive to create machines that can
    “think” on their own, because success at this uniquely complex game seems to
    require something more than just skill, knowledge, and experience. It requires
    intuition. Feel. Style. Characteristics we associate with humans, not with
    machines.</p>
    <hr>
    <p><sup>1</sup> Garry Kasparov is a Russian chess Grandmaster and former World
    Chess Champion</p>
  </body> 
 </html>
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Humans vs Machines Blog</title>
	</head>
	<body>
	<!-- This was adapted from: http://blog.udacity.com/2016/03/humans-vs-machines-an-ai-odyssey-2.html -->
	<!-- Format this text to match the mockup exactly! -->
	<h1>Humans vs. Machines: An AI Odyssey</h1>

	<p><i>By <strong>Christopher Watkins</strong></i></p>

	<p><time datetime="2016-03-10">March 10, 2016</time></p>

	<p>
	<em><strong>*Breaking News: AlphaGo has won the first two matches!*</strong> In this,
	the third in our series on the epic Go matches being played between
	AlphaGo (Google’s Artificial Intelligence software) and Lee Se-Dol
	(Current Go World Champion), we look at the history of Humans vs.
	Machines, and the innovations that have led us to this incredible
	moment in time.</em>
	</p>

	<p><img src="http://i2.wp.com/blog.udacity.com/wp-content/uploads/2016/03/56df2490a351d802222160.gif" alt="Some balls
	and Udacity logo running on canvas"></p>

	<p>For as long as humans have built things, we’ve wrestled with the
	implications of what we’ve built. In many cases, these philosophical
	and ethical wrestlings have made for great drama—think Frankenstein, or
	2001: A Space Odyssey. Often, the hypothetical scenarios we envision come
	remarkably close to true, and the discoveries we’ve made in the fields of
	Artificial Intelligence and Machine Learning make clear that a “computer
	with a mind of its own” <s>is going to take over the world</s> not
	such a fantastic thing to imagine any longer.</p>

	<h2>The Triumph Of Deep Blue</h2>

	<p>Perhaps this is why we are so captivated by human vs. machine competitions, because
	the idea of being overcome by that which we’ve created speaks to something very
	deep within our collective consciousness. When IBM’s Deep Blue faced off against
	Garry Kasparov<sup>1</sup>, the event resulted
	in more than <a href="http://www-03.ibm.com/ibm/history/ibm100/us/en/icons/deepblue/">three
	billion impressions</a> around the world, and when IBM’s later creation Watson challenged the
	champions on Jeopardy, millions of viewers were glued to the proceedings.</p>

	<h2>DeepMind’s AlphaGo</h2>

	<p>Taking place right now, there is an event that, while not likely
	to scale the same media heights, may in fact have far greater implications
	when it comes to the future of “intelligent” machines. On March 9, in Seoul, South
	Korea, a computing system know as AlphoGo (built by researchers at DeepMind—a Google
	Artificial Intelligence lab) began <a href="http://venturebeat.com/2016/02/04/youtube-will-livestream-googles-ai-playing-go-superstar-lee-sedol-in-march/">a
	five-game match</a> against Lee Se-dol, one of the very best players in the world at the ancient
	game of Go.</p>
	<p>Why is this so significant?</p>
	<p>Here is how the DeepMind team explained it in their
	paper <a href="http://airesearch.com/wp-content/uploads/2016/01/deepmind-mastering-go.pdf">Mastering the Game of Go with Deep Neural Networks and Tree Search</a>:</p>
	<p><em>The game of Go has long been viewed as the most challenging of classic games
	for artificial intelligence due to its enormous search space and the
	difficulty of evaluating board positions and moves.</em></p>
	<p>Put another way, winning
	at Go is a kind of Holy Grail for those who strive to create machines that can
	“think” on their own, because success at this uniquely complex game seems to
	require something more than just skill, knowledge, and experience. It requires
	intuition. Feel. Style. Characteristics we associate with humans, not with
	machines.</p>
	<hr>
	<p><sup>1</sup> Garry Kasparov is a Russian chess Grandmaster and former World
	Chess Champion</p>
	</body>
	</html>