sleroy/video.html

## video.html
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    <title>The state of AI in 2019</title>

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    <meta name="abstract" content="What does artificial intelligence mean? How does machine learning work? These are tough questions, but important ones to answer. In The Verge’s Real World AI Issue we’re going to look at how this technology is being used in the world around you — here and now.">
    <meta name="topic" content="The state of AI in 2019">
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            <!-- "hgroup" is used to make two headings into one, to prevent a new document node from forming -->
            <hgroup>
                <h1>The state of AI in 2019</h1>
                <h2>The Verge</h2>
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                    <h1>Summary video of the article</h1>
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                <footer>
                    <p>Author: <cite>The Verge</cite></p>
                </footer>

            </section><!-- .hs1 -->

            <section class="hs2">
                <h1>Summary</h1>
                <p>How does machine learning work?\nMachine learning systems can’t explain their thinking, and that
                    means your algorithm could be performing well for the wrong reasons.\nYou could build the best
                    cat-recognizer program in the world and it would never tell you that kittens shouldn’t drive
                    motorbikes or that a cat is more likely to be called “Tiddles” than “Megalorth the Undying.”
                    Teaching computers to learn for themselves is a brilliant shortcut — and like all shortcuts, it
                    involves cutting corners Teaching computers to learn for themselves is a brilliant shortcut.\nAnd
                    like all shortcuts, it involves cutting corners.\nIn the here and now, artificial intelligence —
                    machine learning — is still something new that often goes unexplained or under-examined.</p>
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	<meta name="abstract" content="What does artificial intelligence mean? How does machine learning work? These are tough questions, but important ones to answer. In The Verge’s Real World AI Issue we’re going to look at how this technology is being used in the world around you — here and now.">
	<meta name="topic" content="The state of AI in 2019">
	<meta name="summary" content="The state of AI in 2019">
	<meta name="Classification" content="Artificial Intelligences">
	<meta name="owner" content="Faveeo">
	<meta name="category" content="Science and technology">
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	<!-- First header has an ID so you can give it individual styles, and target stuff inside it -->
	<header id="hd1">

	<!-- "hgroup" is used to make two headings into one, to prevent a new document node from forming -->
	<hgroup>
	<h1>The state of AI in 2019</h1>
	<h2>The Verge</h2>
	</hgroup>

	</header><!-- #hd1 -->

	<div id="main">
	<section class="hs1">
	<header>
	<h1>Summary video of the article</h1>
	</header>
	<iframe frameborder="0" width="1280" height="720" src="https://s3.amazonaws.com/com.faveeo.videos/article/ai/research/videoscript-68b4ce60b0.mp4" target="_blank" align="center" scrolling="Auto"></iframe>

	<footer>
	<p>Author: <cite>The Verge</cite></p>
	</footer>

	</section><!-- .hs1 -->

	<section class="hs2">
	<h1>Summary</h1>
	<p>How does machine learning work?\nMachine learning systems can’t explain their thinking, and that
	means your algorithm could be performing well for the wrong reasons.\nYou could build the best
	cat-recognizer program in the world and it would never tell you that kittens shouldn’t drive
	motorbikes or that a cat is more likely to be called “Tiddles” than “Megalorth the Undying.”
	Teaching computers to learn for themselves is a brilliant shortcut — and like all shortcuts, it
	involves cutting corners Teaching computers to learn for themselves is a brilliant shortcut.\nAnd
	like all shortcuts, it involves cutting corners.\nIn the here and now, artificial intelligence —
	machine learning — is still something new that often goes unexplained or under-examined.</p>
	</section><!-- .hs2 -->

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	<footer id="f1">
	<p>copyright Faveeo © 2019</p>
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