有效的并行化和量子计算——我认为这是两个已经取得进展的领域，而且还将取得更大的进展，从而使我们对计算能力的使用发生重大变化。

有效的并行化意味着在不需要特殊编程技术的情况下并行和分布处理，但将其内置到编译器/框架中。

有效的并行化和量子计算——我认为这是两个已经取得进展的领域，而且还将取得更大的进展，从而使我们对计算能力的使用发生重大变化。

有效的并行化意味着在不需要特殊编程技术的情况下并行和分布处理，但将其内置到编译器/框架中。

快速聚类算法(数据点数为O(n log n))，如DBScan(1996年)，似乎都是1980年以后的。

这些都是数据挖掘技术进步浪潮的一部分。

相比之下，在寻线方面缺乏进展，在寻线方面，像Hough这样拙劣的缩放技术似乎仍然代表着最先进的技术水平。

在社区支持下，翻译软件可以进行手动更正和建议，随后由人工智能机器人形成模式，最终区分并正确预测不同翻译和上下文中的歧义。

虽然谷歌Translate可能不是野兽，但它是一个系统的母亲，或者可能是等待开发的祖母。

如果你仔细想想，文本语言实际上是大脑的输入，眼睛看到文本并将图像发送到大脑，然后大脑将其转化为理解。

虽然它真正的交流(尤其是人与人之间的交流)是一个高级的话题，但基本的是输入(带上下文)->翻译->理解。

为什么我们仍然没有真正的好办法给远方的同事或不会说我们语言的伙伴发送电子邮件?这显然是第一阶段。

一旦完成，我们就可以进行实时电话翻译之类的工作了。

相反，月复一月，我们最大的智力资产被用于其他更重要的项目，比如太空研究、流星探测，或者试图证明《圣经》是错的(打哈欠)。

我们把更多的时间花在基本的实际交流上怎么样?

当然，1980年以前是施乐PARC的辉煌时期。在图形用户界面、鼠标、激光打印机、互联网和个人电脑刚刚诞生的时候。(鉴于我太年轻了，不可能活在那个年代，而你几乎在努力发明所有这些东西，关于1980年的事情，我不能告诉你任何你不知道的事情，所以我们继续吧。)

The thing is, though, that the pre-1980 days were a lot more vibrant in terms of truly disruptive new technologies. That's the way it is with any new field -- hwo many game-changing technology advances have you seen in railroads in the past 100 years? How many have you seen in lightbulbs? In the printing press? Once something ignites a hype in the right circles, there is an explosive period of invention, followed by a long period of maturing. After that, you're not going to see the same kind of completely radical changes again UNLESS the basic circumstances change.

幸运的是，这可能会发生在一些领域，而且已经发生在其他一些领域:

Mobility - smart phones bring computing to a truly portable platform, which will soon include location-based services and proximity-based ad-hoc networks. It's a completely new paradigm that's potentially as game-changing as the GUI has been The WWW (HTTP, HTML and DNS) has already been mentioned and is an obvious addition to the list, since it is enabling global, inexpensive, mainstream rich communication across the globe - all thanks to a computing platform On the interface side, both touch, multitouch (Jeff Han comes to mind) and the Wiimote need mentioning. Currently, they are basically curiosities, but so were the early GUIs. OOP design patterns -- higher level solutions as best practices to hard problems. Depending on your definition of 'computing', it may or may not belong on the list, but if you count OOP as a significant advance pre-1980 (I certainly do), I think design patterns and the GoF deserve a mention too Google's PageRank and MapReduce algorithms - I am pleased to notice I wasn't the first to mention them, and seriously --- where would the world be without the principles of both of them? I vividly remember what the world looked like before them, and suffice it to say Google really IS my friend. Non-volatile memory -- it's on the hardware side, but it is going to play a significant role in the future of computing - making bootup times a thing of the past, for example, and enabling us to use computers in entirely new ways Semantic (natural language) search / analysis / classification / translation... We're not quite there yet, but companies like Powerset give the impression that we're on the brink. On that note, intelligent HTMs should be on this list as well. I am yet another believer in Jeff Hawkins' model and approach, and if it works, it will mean a complete redefinition of what computers can do, what it means to be human, and where the world can go from here. Creating a real intelligence in that way (synthetically) would be bigger than anything the human race has accomplished before. GNU + Linux 3D printing / rapid prototyping (and, in time, manufacturing) P2P (which also lead to VoIP etc.) E-ink, once the technologies mature a bit more RFID might belong on the list, but the verdict is still out on that one Quantum Computing is the most obvious element on the list, except we still haven't been able to get enough qubits to play along. However, my friends in the field tell me there's incredible progress going on even as we speak, so I'm holding my breath for that one. And finally, I want to mention a personal favourite: distributed intelligence, or its other name: artificial artificial intelligence. The idea of connecting a huge number of people in a network and allowing them access to the combined minds of everyone else through some form of question answering interface. It's been done a number of times recently, with Yahoo Answers, Askville, Amazon Mechanical Turk, and so on, but in my mind, those are all missing the mark by a LOT... much like the many implementations of distributed hypertext that came before Tim Berners-Lee's HTML, or the many web crawlers before Google. Seriously -- someone needs to build an search interface into 'the hive mind' to blow everyone else out of the water. IMHO - it is only a matter of time.

增强现实。这还没有真正流行起来，但从想法来看，我认为它是巨大的，从能够在地面上画虚拟箭头来帮助你找到目的地，到用有用的信息或审美幻想装饰你周围的一切。

想象一下，你的手机在房间的另一头响了起来，你看着它，上面会跳出一个信息泡泡，告诉你是谁打来的。那该有多酷?AR将给我们思考技术和与技术互动的方式带来巨大的变化。

鬼屋可能也会变得更加可怕。

我还想提到用于脑机接口的脑电图，但显然这是在20世纪70年代首次发明的。