万维网已经被告知了，但更基本的，我会说“DNS”。 似乎它是在1983年发明的(http://en.wikipedia.org/wiki/Domain_Name_System)，恕我直言，我们可以认为它是互联网协议的发明和传播到世界各地的能力之间的强制性联系，现在被称为网络。

还是在“网络”部分，我要加上WIFI。它是在90年代发明的(但我同意它不完全是“计算”，而更多地与硬件有关)。

在更严格的“算法”部分，我想到了turbocodes(1993年);有人说它只是接近了香农信号理论所定义的极限，但这种论点难道不会否定所有其他对“一切都已经在洛夫莱斯、巴贝奇和图灵的作品中萌芽”的回答吗?

在密码学领域，我想加上P.Zimmermann(1991年)的PGP程序，它为公民带来了一个相当健壮的(当时)免费加密程序，并有助于动摇政府对加密的立场。事实上，我认为这是密码学“自由化”的因素之一，这是发展电子商务的前提。

我认为在过去的50年里，一个非常重要的计算机发明是谷歌。如果没有一个好的搜索工具，互联网就毫无意义。搜索引擎的出现彻底改变了互联网，使它能够被小人物货币化。

Eclipse IDE

将Smalltalk这样的IDE带给大众;)

软件:

虚拟化和仿真 P2P数据传输 社区驱动的项目，如维基百科、SETI@home…… 网络爬行和网络搜索引擎，即索引信息分布在世界各地

硬件:

模块化PC 电子纸

我相信单元测试、TDD和持续集成是1980年之后的重大发明。

我认为自20世纪80年代以来发明的最好的想法将是我们不知道的。要么是因为它们很小，无处不在，以至于不引人注意，要么是因为它们的受欢迎程度还没有真正起飞。

前者的一个例子是单击并拖动以选择文本的一部分。我相信这是1984年首次出现在麦金塔电脑上。在此之前，您有单独的按钮用于选择选择的开始和结束。相当繁重。

后者的一个例子是(可能是)可视化编程语言。我不是说像hypercard，我是说像Max/MSP, Prograph, Quartz Composer, yahoo pipes等。目前它们确实是小众的，但我认为，除了思想分享之外，没有什么能阻止它们像标准编程语言一样具有表现力和强大的功能。

可视化编程语言有效地加强了引用透明性的函数式编程范式。这对于代码来说是一个非常有用的属性。他们执行这一点的方式也不是人为的——这只是由于他们使用的比喻。

VPL让那些本来不会编程的人也能编程，比如有语言障碍的人，比如阅读困难的人，甚至只是需要简单节省时间的门外汉。专业程序员可能会对此嗤之以鼻，但就我个人而言，我认为如果编程成为一种真正无处不在的技能，就像识字一样，那就太好了。

就目前来看，VPL只是一个小众的兴趣，还没有真正成为主流。

我们应该做些什么不同的事情

all computer science majors should be required to double major- coupling the CS major with one of the humanities. Painting, literature, design, psychology, history, english, whatever. A lot of the problem is that the industry is populated with people that have a really narrow and unimaginative understanding of the world, and therefore can't begin to imagine a computer working any significantly differently than it already does. (if it helps, you can imagine that I'm talking about someone other than you, the person reading this.) Mathematics is great, but in the end it's just a tool for achieving. we need experts who understand the nature of creativity, who also understand technology.

But even if we have them, there needs to be an environment where there's a possibility that doing something new would be worth the risk. It's 100 times more likely that anything truly new gets rejected out of hand, rather viciously. (the newton is an example of this). so we need a much higher tolerance for failure. We should not be afraid to try an idea which has failed in the past. We should not fully reject our own failures- and we should learn to recognize when we have failed. We should not see failure as a bad thing, and so we shouldn't lie to ourselves or to others about it. We should just get used to it, because it is just about the only constant in this ever changing industry. Post mortems are useful in this regard.

One of the more interesting things, about smalltalk, I think, was not the language itself, but the process that was used to arrive at the design of smalltalk. The iterative design process, going through many many revisions- But also very carefully and critically identifying the flaws of the existing system, and finding solutions in the next one. The more perspectives, and the broader the perspectives we have on the situation, the better we can judge where the mistakes and problems are. So don't just study computer science. Study as many other academic subjects as you can get yourself to be interested in.