blocks|key|2026880|text|我认为最重要的突破是现实世界的消费者应用程序在今天经常使用人工智能。它已经变得很普遍，不再仅仅是对学术研究和特殊应用的好奇，就像十年前一样。下面是一些例子：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2026881|语音和文本识别(如iPhone)。|unordered-list-item|2026882|数码相机中的人脸识别。|2026883|搜索引擎。|2026884|垃圾邮件过滤。|2026885|汽车自动变速箱。|2026886|游戏。|2026887|等。|2026888|它就在我们周围！|2026889|entityMap^0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|U|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|V|8|@]|9|@]|A|$]]|$1|E|3|F|5|D|7|W|8|@]|9|@]|A|$]]|$1|G|3|H|5|D|7|X|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|Y|8|@]|9|@]|A|$]]|$1|K|3|L|5|D|7|Z|8|@]|9|@]|A|$]]|$1|M|3|N|5|D|7|10|8|@]|9|@]|A|$]]|$1|O|3|P|5|D|7|11|8|@]|9|@]|A|$]]|$1|Q|3|R|5|6|7|12|8|@]|9|@]|A|$]]|$1|S|3|-4|5|6|7|13|8|@]|9|@]|A|$]]]|T|$]]

I think the most significant breakthrough is that real world consumer applications actually utilize AI routinely today. It has become common, and is not just mere curiosity of academic research and special applications any more, like it was ten years ago. Some examples:

<ul>
<li>Speech and text recognition (e.g. iPhone).</li>
<li>Face recognition in digital cameras.</li>
<li>Search engines.</li>
<li>Email spam filtering.</li>
<li>Automatic gearboxes of cars.</li>
<li>Games.</li>
<li>etc.</li>
</ul>

It's all around us! :-)

blocks|key|494543|text|我会在列表中加入像DARPA挑战中的机器人一样的自主机器人。开车穿过沙漠或农村地区，识别地形，避免沙堆，寻找路径等绝对是很难的人工智能问题。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|494544|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

I would add autonomous robots like those in the DARPA challenges to the list. Driving through a desert or rural area, recognizing the terrain, avoiding ostacles, finding paths and so on are definitely tough AI problems.

blocks|key|494503|text|如per+@mad游戏机器人所示，人工智能已经走了很长一段路：连接到机器人变得聪明|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|494504|alt文本http://www.spectrum.ieee.org/images/dec08/images/bot01.jpg|494505|entityMap|0|LINK|mutability|MUTABLE|url|http://www.spectrum.ieee.org/print/7011|1|http://www.spectrum.ieee.org/images/dec08/images/bot01.jpg^0|V|A|0|0|0|1R|1|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@$A|Q|B|R|1|S]]|C|$]]|$1|D|3|E|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]]|C|$]]|$1|F|3|-4|5|6|7|X|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]|N|$5|I|J|K|C|$L|O]]]]

as per @mad-j game bots A.I. has come a long way: <a href="http://www.spectrum.ieee.org/print/7011" rel="nofollow noreferrer">link to bots get smart</a>

<a href="http://www.spectrum.ieee.org/images/dec08/images/bot01.jpg" rel="nofollow noreferrer">alt text http://www.spectrum.ieee.org/images/dec08/images/bot01.jpg</a>

blocks|key|494589|text|事实上，人工智能研究正在复兴，过去5-8年来一直如此。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|494590|早在70年代和80年代神经网络风靡一时的时候，他们在解决简单的任务上表现出了巨大的希望，以至于人们对人工智能的整个领域都寄予厚望。然后，当很难从简单的任务转移到现实世界的问题，比如语言习得时，很多人都幻灭了。直到最近，也就是。|blockquote|494591|我不是最适合问的人--不是人工智能专家--但我相信一些最有希望的领域是：|494592|语义搜索和数据挖掘(包括文本分类)|ordered-list-item|offset|length|494593|统计机器翻译|494594|“真正的智能”HTMs+(读杰夫·霍金斯‘论智力)|494595|相关性/推荐引擎(基本上是数据挖掘和网络分析的混合体)|494596|视觉目标识别|494597|entityMap|0|LINK|mutability|MUTABLE|url|http://www.powerset.com/|1|http://en.wikipedia.org/wiki/Statistical_machine_translation|2|http://en.wikipedia.org/wiki/Jeff_Hawkins|3|http://en.wikipedia.org/wiki/On_Intelligence^0|0|0|0|2|2|0|0|0|6|1|0|E|6|2|L|3|3|0|0|0^^$0|@$1|2|3|4|5|6|7|17|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|18|8|@]|9|@]|A|$]]|$1|E|3|F|5|6|7|19|8|@]|9|@]|A|$]]|$1|G|3|H|5|I|7|1A|8|@]|9|@$J|1B|K|1C|1|1D]]|A|$]]|$1|L|3|M|5|I|7|1E|8|@]|9|@$J|1F|K|1G|1|1H]]|A|$]]|$1|N|3|O|5|I|7|1I|8|@]|9|@$J|1J|K|1K|1|1L]|$J|1M|K|1N|1|1O]]|A|$]]|$1|P|3|Q|5|I|7|1P|8|@]|9|@]|A|$]]|$1|R|3|S|5|I|7|1Q|8|@]|9|@]|A|$]]|$1|T|3|-4|5|6|7|1R|8|@]|9|@]|A|$]]]|U|$V|$5|W|X|Y|A|$Z|10]]|11|$5|W|X|Y|A|$Z|12]]|13|$5|W|X|Y|A|$Z|14]]|15|$5|W|X|Y|A|$Z|16]]]]

Actually, AI research is having a renaissance and has been for the past 5-8 years or so.

<blockquote>
 Back when neural networks were all the rage in the 70s and 80s, they were showing such promise in solving simple tasks that people's hopes were sky-high for the whole field of AI. Then, when it turned out to be very difficult to move on from the very simple tasks to real-world problems like language acquisition, a lot of people became disillusioned. Until recently, that is.
</blockquote>

I am not the best person to ask -- being no AI expert -- but I believe some of the most promising areas are:

<ol>
<li>Semantic <a href="http://www.powerset.com/" rel="nofollow noreferrer">search</a> and data mining (including text classification)</li>
<li><a href="http://en.wikipedia.org/wiki/Statistical_machine_translation" rel="nofollow noreferrer">Statistical machine translation</a></li>
<li>'Real intelligence' HTMs (read <a href="http://en.wikipedia.org/wiki/Jeff_Hawkins" rel="nofollow noreferrer">Jeff Hawkins</a>' <a href="http://en.wikipedia.org/wiki/On_Intelligence" rel="nofollow noreferrer">On Intelligence</a>)</li>
<li>Relevance / Recommendation engines (essentially a hybrid of data mining and network analysis)</li>
<li>Visual object recognition</li>
</ol>

blocks|key|494425|text|我认为真正的/强大的人工智能已经失去了它的方式，几十年来，口语/理解计算机将在‘未来5年’提供。然后我们得到了龙+(没有连接)，它什么都不懂，它是一个聪明的麦克风，已经有一段时间没有听到任何关于人工智能的消息了--它只是不再是主流了，因为它太难了。我认为有一件事是毫无疑问的，那就是真实的人工智能，就像在思维机器中，图灵测试通过人工智能--还有很长的路要走。别误会，有很多好的研究在进行，但我们得等200-500年才能得到结果。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|494426|我的直觉是，它们将是一些有趣的东西，来自大规模并行系统，特别是那些由非常简单的节点构建的系统。如果我必须指出人工智能的一个突破，我就会看到纳米科技领域的副产品，变得非常小，看看大脑中的细胞是什么--科幻小说，但总有一天我们会破解它。|494427|entityMap|0|LINK|mutability|MUTABLE|url|http://www.google.com.au/aclk?sa=l&ai=C-NM68UyNSbeFFYnbkAWIzei4Ctba62--j4G1Cd62hBYIABABINfC3gMoA1CFkb6fBGClwKOApAGgAZDl2vQDyAEBqgQZT9B281qYgt4IkHCaOb5GpqcrbyRPdkcbqw&sig=AGiWqtzrXavLCjn6XxSY0Z41KX3ox7iV6w&q=https://track.digitalriver.com//si/cm/tracking/clickredirect.aspx%253Fsicontent%253D0%2526sicreative%253D2421557206%2526sitrackingid%253D58448622^0|1J|1|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]]|C|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@]|C|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]]]

I think real/strong AI has lost it way, for decades the speaking/understanding computer was going to be available 'in the next 5 years'. Then we ended up with <a href="http://www.google.com.au/aclk?sa=l&amp;ai=C-NM68UyNSbeFFYnbkAWIzei4Ctba62--j4G1Cd62hBYIABABINfC3gMoA1CFkb6fBGClwKOApAGgAZDl2vQDyAEBqgQZT9B281qYgt4IkHCaOb5GpqcrbyRPdkcbqw&amp;sig=AGiWqtzrXavLCjn6XxSY0Z41KX3ox7iV6w&amp;q=https://track.digitalriver.com//si/cm/tracking/clickredirect.aspx%3Fsicontent%3D0%26sicreative%3D2421557206%26sitrackingid%3D58448622" rel="nofollow noreferrer">Dragon</a> (no connection) which doesn't understand anything, it's a clever microphone, and it's a while since I've heard anything about AI - it's just not mainstream anymore, because it is too damn hard. One thing I think has been proven beyond doubt real AI, as in thinking machine, Turing Test passing AI - is still a (very) long way away. Don't get me wrong, there's tons of good research going on, but we'll have to wait 200-500 years for a result.

My gut feel is they'll be some interesting stuff coming out of massively parallel systems, especially ones built with really simple nodes. And if I had to point at a single AI breakthrough I'd be looking at spin offs from the nano-tech field, getting really small and seeing what cells in the brain are up to - science fiction it is, but we'll crack it one day.

What do you consider the most significant progress / breakthroughs in real world applications of present-day AI research? (including, but not limited to: machine learning, statistical data processing, and <a href="http://en.wikipedia.org/wiki/Applications_of_artificial_intelligence#List_of_applications" rel="noreferrer">other disciplines spinned off from AI</a>).

Please spare / do not want: ramblings about AI winters / disappointment;

Do want: links, and pointers to concrete real-world applications.

Most significant present-day AI developments?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

文章

问答

视频

教程

学习中心

腾讯云实验室

直播

竞赛

腾讯云代码分析专区

腾讯iOA零信任安全管理系统专区

腾讯云架构师技术同盟交流圈

腾讯云数据库专区

腾讯云智能顾问专区

腾讯云原生专区

腾讯混元专区

腾讯云TCE专区

腾讯云Lighthouse专区

腾讯云HAI专区

腾讯云Edgeone专区

腾讯云存储专区

腾讯云智能专区

腾讯轻联专区 

腾讯云开发专区

TAPD专区

腾讯轻量云游戏服专区

腾讯云最具价值专家

腾讯云架构师技术同盟

腾讯云创作之星

腾讯云开发者先锋

腾讯云AI代码助手

云原生构建

TAPD 敏捷项目管理

Cloud Studio

SDK中心

API中心

命令行工具

功能1上新10个字符

功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符。

功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符。

功能5描述100个字符功能5描述100个字符功能5描述100个字符功能5描述100个字符功能5描述100个字符功能5描述100个字符

功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符

功能4上新

文章&问答评论现已支持表情

全新交互，全新视觉，新增快捷键、悬浮工具栏、高亮块等功能并同时优化现有功能，全面提升创作效率和体验

社区富文本编辑器全新改版！诚邀体验～ 

精选全网热门MCP server，让你的AI更好用 🚀

💥开发者 MCP广场重磅上线！

涵盖代码开发、场景应用、自动测试全流程，助你从零构建专属AI助手

一站式MCP教程库，解锁AI应用新玩法

聚焦“写作效率、视觉美观与运行性能”三方面进行全面升级，为您提供更高效、稳定的创作环境

社区富文本&Markdown编辑器全新改版上线，欢迎大家体验!

诚挚邀请您参与本次调研，分享您的真实使用感受与建议。您的反馈至关重要，感谢您的支持与参与！

社区新版编辑器体验调研

你认为当今人工智能研究在现实世界中最重要的进展/突破是什么？(包括但不限于:机器学习、统计数据处理和)。请备用/不想:漫不经心地谈论AI冬天/失望；确实需要:链接和指向具体的现实世界应用程序的指针。

问当今人工智能最重要的发展？
EN

回答 5

Stack Overflow用户

Stack Overflow用户

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问当今人工智能最重要的发展？EN

回答 5

Stack Overflow用户

Stack Overflow用户

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问当今人工智能最重要的发展？
EN