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		<title>$20亿用于美国国防的下一代人工智能 - 信号</title>
		<link>https://redanalysis.org/zh/2018/09/10/20%e4%ba%bf%e7%be%8e%e9%87%91%e7%94%a8%e4%ba%8e%e4%b8%8b%e4%b8%80%e4%bb%a3%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%ef%bc%8c%e4%b8%ba%e6%88%91%e4%bb%ac%e7%9a%84%e9%98%b2%e5%8a%a1%e5%8f%91%e5%87%ba%e4%bf%a1/</link>
					<comments>https://redanalysis.org/zh/2018/09/10/20%e4%ba%bf%e7%be%8e%e9%87%91%e7%94%a8%e4%ba%8e%e4%b8%8b%e4%b8%80%e4%bb%a3%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%ef%bc%8c%e4%b8%ba%e6%88%91%e4%bb%ac%e7%9a%84%e9%98%b2%e5%8a%a1%e5%8f%91%e5%87%ba%e4%bf%a1/#respond</comments>
		
		<dc:creator><![CDATA[Dr Helene Lavoix (MSc PhD Lond)]]></dc:creator>
		<pubDate>Mon, 10 Sep 2018 10:40:39 +0000</pubDate>
				<category><![CDATA[Americas]]></category>
		<category><![CDATA[Artificial Intelligence - Foreseeing the Future AI-powered World]]></category>
		<category><![CDATA[China]]></category>
		<category><![CDATA[Horizon Scanning Board]]></category>
		<category><![CDATA[AI]]></category>
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		<category><![CDATA[artificial intelligence]]></category>
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					<description><![CDATA[<!-- wp:paragraph {"customBackgroundColor":"#f6f5f5"} -->
<h2>对问题和不确定性的影响</h2>
<p style="background-color:#d5d3d3" class="has-text-color has-background has-dark-gray-color"><span style="color: #ff0000;"><span style="color: #333333;"><strong><span style="color: #ff0000;">临界不确定性➚➚➚</span></strong> 扰乱了目前私人和公共行为者的人工智能力量竞赛--美国在竞赛中取得了非常严重的领先。</span></span><br> <span style="color: #ff0000;">➚➚<span style="color: #333333;">加速扩展人工智能</span><br> <span style="color: #ff0000;"><span style="color: #333333;"><span style="color: #ff0000;">➚➚</span>人工智能世界加速崛起</span></span><br> <span style="color: #ff0000;">➚➚</span><span style="color: #333333;"> 看到美国在人工智能力量竞赛中巩固其领先地位的几率增加。</span><br> <span style="color: #ff0000;">➚➚</span><span style="color: #333333;"> 不断升级的人工智能力量竞赛，特别是在美国和中国之间。</span><br> <span style="color: #ff0000;">➚➚</span><span style="color: #333333;"> 世界其他地区追赶的挑战不断上升</span><br> <span style="color: #ff0000;">➚</span></span><span style="color: #333333;">  紧张局势升级的可能性 美中之间，包括人工智能行为者之间的关系 </span> [...] </p>
<!-- /wp:paragraph -->]]></description>
		
					<wfw:commentrss>https://redanalysis.org/zh/2018/09/10/20%e4%ba%bf%e7%be%8e%e9%87%91%e7%94%a8%e4%ba%8e%e4%b8%8b%e4%b8%80%e4%bb%a3%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%ef%bc%8c%e4%b8%ba%e6%88%91%e4%bb%ac%e7%9a%84%e9%98%b2%e5%8a%a1%e5%8f%91%e5%87%ba%e4%bf%a1/feed/</wfw:commentrss>
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		<post-id xmlns="com-wordpress:feed-additions:1">18980</post-id>	</item>
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		<title>当AI开始创造AI时--人工智能与计算能力</title>
		<link>https://redanalysis.org/zh/2018/05/07/%e4%bd%95%e6%97%b6%e5%bc%80%e5%a7%8b%e5%88%9b%e9%80%a0ai%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%92%8c%e8%ae%a1%e7%ae%97%e8%83%bd%e5%8a%9b%ef%bc%9f/</link>
					<comments>https://redanalysis.org/zh/2018/05/07/%e4%bd%95%e6%97%b6%e5%bc%80%e5%a7%8b%e5%88%9b%e9%80%a0ai%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%92%8c%e8%ae%a1%e7%ae%97%e8%83%bd%e5%8a%9b%ef%bc%9f/#respond</comments>
		
		<dc:creator><![CDATA[Dr Helene Lavoix (MSc PhD Lond)]]></dc:creator>
		<pubDate>Mon, 07 May 2018 08:00:44 +0000</pubDate>
				<category><![CDATA[Americas]]></category>
		<category><![CDATA[Artificial Intelligence - Foreseeing the Future AI-powered World]]></category>
		<category><![CDATA[AGI]]></category>
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		<category><![CDATA[supercomputer]]></category>
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		<guid ispermalink="false">https://www.redanalysis.org/?p=17939</guid>

					<description><![CDATA[2018 年可能是美国凭借世界上最强大的超级计算机重新领先中国的一年。这可能是人工智能与计算力大战打响的一年。2017 年是人工智能开始创造人工智能（AI）的一年。这一年，中国超越美国 ... <p class="link-more"><a href="https://redanalysis.org/zh/2018/05/07/%e4%bd%95%e6%97%b6%e5%bc%80%e5%a7%8b%e5%88%9b%e9%80%a0ai%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%92%8c%e8%ae%a1%e7%ae%97%e8%83%bd%e5%8a%9b%ef%bc%9f/" class="more-link">继续阅读<span class="screen-reader-text">"当AI开始创造AI时--人工智能和计算能力"</span></a></p>]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">17939</post-id>	</item>
		<item>
		<title>★人工智能--力量、驱动力和利害关系</title>
		<link>https://redanalysis.org/zh/2018/03/26/%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd-%e5%8a%9b%e9%87%8f-%e9%a9%b1%e5%8a%a8%e5%8a%9b%e5%92%8c%e9%a3%8e%e9%99%a9/</link>
					<comments>https://redanalysis.org/zh/2018/03/26/%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd-%e5%8a%9b%e9%87%8f-%e9%a9%b1%e5%8a%a8%e5%8a%9b%e5%92%8c%e9%a3%8e%e9%99%a9/#respond</comments>
		
		<dc:creator><![CDATA[Dr Helene Lavoix (MSc PhD Lond)]]></dc:creator>
		<pubDate>Mon, 26 Mar 2018 10:19:45 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence - Foreseeing the Future AI-powered World]]></category>
		<category><![CDATA[algorithm]]></category>
		<category><![CDATA[big data]]></category>
		<category><![CDATA[computing]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[driver]]></category>
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		<category><![CDATA[GPU]]></category>
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		<category><![CDATA[quantum]]></category>
		<guid ispermalink="false">https://www.redanalysis.org/?p=17782</guid>

					<description><![CDATA[在此，我们将介绍当前人工智能（AI）指数式发展背后的驱动力和力量。深度学习是人工智能的一个子领域，它引领着这一扩张，正如我们在《人工智能何时为地缘政治提供动力--介绍人工智能》（开放存取）和《人工智能和深度学习--正在形成的新人工智能世界》（半开放）中所解释的那样。 <p class="link-more"><a href="https://redanalysis.org/zh/2018/03/26/%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd-%e5%8a%9b%e9%87%8f-%e9%a9%b1%e5%8a%a8%e5%8a%9b%e5%92%8c%e9%a3%8e%e9%99%a9/" class="more-link">继续阅读<span class="screen-reader-text">"★人工智能--力量、驱动力和赌注"</span></a></p>]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">17782</post-id>	</item>
		<item>
		<title>人工智能和深度学习--正在形成的新人工智能世界</title>
		<link>https://redanalysis.org/zh/2017/12/18/%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0-%e6%96%b0ai-%e4%b8%96%e7%95%8c%e7%9a%84%e5%88%9b%e9%80%a0/</link>
					<comments>https://redanalysis.org/zh/2017/12/18/%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0-%e6%96%b0ai-%e4%b8%96%e7%95%8c%e7%9a%84%e5%88%9b%e9%80%a0/#respond</comments>
		
		<dc:creator><![CDATA[Dr Helene Lavoix (MSc PhD Lond)]]></dc:creator>
		<pubDate>Mon, 18 Dec 2017 10:07:50 +0000</pubDate>
				<category><![CDATA[Americas]]></category>
		<category><![CDATA[Artificial Intelligence - Foreseeing the Future AI-powered World]]></category>
		<category><![CDATA[China]]></category>
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		<category><![CDATA[deep neural network]]></category>
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		<category><![CDATA[Reinforcement learning]]></category>
		<category><![CDATA[semi open access]]></category>
		<category><![CDATA[smart factory]]></category>
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		<category><![CDATA[Yandex]]></category>
		<guid ispermalink="false">https://www.redanalysis.org/?p=17060</guid>

					<description><![CDATA[本文重点讨论深度学习，这是人工智能的一个子领域，引领着该领域目前的指数式发展。当我们试图设想一个由人工智能驱动的未来世界会是什么样子，以及它对其参与者意味着什么，特别是在政治和地缘政治方面，首先了解什么是人工智能确实是最基本的。  我们将首先举例说明深度学习是如何在现实世界中使用的。我们将区分两类活动：经典的人工智能活动和全新的人工智能活动，与DL的出现有关。在这两种情况下，我们将指出其革命性的潜力。然后，我们将深入研究深度学习的世界，以谷歌&#039;的DeepMind人工智能-DL程序的演变为例，该程序最初是为了战胜人类围棋高手而开发。AlphaGo，然后是AlphaGo Zero，最后是AlphaZero。在简要介绍了人工智能中DL的位置后，我们将首先关注深度神经网络和监督学习。其次，我们将看看深度强化学习的最新演变，并开始思考一个新的人工智能-DL范式是否正在出现，它可以彻底改变目前关于大数据重要性的教条。]]></description>
		
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