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What Computers Do: Model, Connect, Engage

机译:计算机做什么:建模,连接,参与

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Every 30 years there is a new wave of things that computers do. Around 1950 they began to model events in the world (simulation), and around 1980 to connect people (communication). Since 2010 they have begun to engage with the physical world in a non-trivial way (embodiment-giving them bodies). Today there are sensor networks like the Inrix traffic information system, robots like the Roomba vacuum cleaner, and cameras that can pick out faces and even smiles. But these are just the beginning. In a few years we will have cars that drive themselves, glasses that overlay the person you are looking at with their name and contact information, telepresence systems that make most business travel unnecessary, and other applications as yet unimagined. Computer systems are built on the physical foundation of hardware (steadily improving according to Moore's law) and the intellectual foundations of algorithms, abstraction and probability. Good systems use a few basic methods: approximate, incrementally change, and divide and conquer. Latency, bandwidth, availability and complexity determine performance. In the future systems will deal with uncertainty much better than today, and many of them will be safety critical and hence much more dependable.
机译:每隔30年,计算机就会掀起一波新潮。 1950年左右,他们开始为世界上的事件建模(模拟),并在1980年左右开始将人与人联系(通信)。自2010年以来,他们开始以一种不平凡的方式与现实世界互动(体现给他们身体)。如今,已经有了Inrix交通信息系统等传感器网络,Roomba吸尘器等机器人以及可以识别人脸甚至笑容的摄像头。但这仅仅是个开始。几年后,我们将拥有可自行驾驶的汽车,可将您的姓名和联系信息覆盖在您所要寻找的人身上的眼镜,无需进行大多数商务旅行的网真系统以及其他尚未想到的应用程序。计算机系统建立在硬件的物理基础上(根据摩尔定律不断改进),并且是算法,抽象和概率的智力基础。好的系统使用一些基本方法:近似,渐进式变化以及分而治之。延迟,带宽,可用性和复杂性决定了性能。将来,系统处理不确定性的能力将比今天好得多,其中许多对安全性至关重要,因此更加可靠。

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