当前的计算机虽然在速度上远超人类，但在驾驶、视觉和声音识别等任务中，人类却远胜一筹。科学家试图通过模拟大脑中的神经网络来解决这一问题。他们发现，使用数百或数千个人工神经元可以实现复杂任务，如识别手写字符和解释视觉信息，而无需高性能计算机。这些基于神经网络的系统因其简单性和模仿大脑学习能力而备受推崇，但目前我们对大脑的工作原理了解仍不完全。一旦解开大脑的秘密，计算机可能结合高速计算能力和神经网络的复杂任务处理能力。
Today, computers are greatly evolved machines. They run at blindingly fast processor speeds of around 3 GHz. That too with multiple cores. They can do calculations, perform mathematical manipulations, forecast weather, guide missles with pin point accuracy. Something which humans simply cannot do at such high speeds.
But there are tasks that humans can do really fast. And today’s computers can’t even compete with humans. Tell a human to drive a car. He’ll do all the complex “calculations” inside his head, and drive the car perfectly. But to train a computer to drive a car is a mammoth challenge in itself. Infact, the US Military organizes a competition to create such a computer every year (c
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