Smart homes, smart offices, whole smart buildings — literally everything will be connected with everything else, separated only by closed internal networks.

智能家、智能办公室，智能建筑，几乎所有的一切都联系在了一起，只有内部网络切段才会被分离。

Advances in learning algorithms and smart building materials could allow us to tailor structures to their environments, minimizing local impact.

学习算法和智能建筑材料的进步可以让我们根据环境定制结构，最大限度地减少对当地的影响。

Mr Burt also sees a market for powering the networks of sensors needed to monitor things like temperature and humidity in modern " smart" buildings.

而在另一片市场——智能建筑中构成监测网络的温度，湿度等传感器供电领域中，Burt同样看到了公司产品不错的应用前景。

But when we think about building smarter environments, think of smarter buildings or smarter cars or smarter clothing, that typically means adding more power, more batteries, more devices, more cost, more complexity and ultimately more failure.

但是，当我们考虑构建更智能的环境、 更智能的建筑、更智能的汽车或更智能的服装时， 这通常意味着增加更多的电力、 更多的电池、 更多的设备、 更多的成本、更多的复杂性以及最终更多的失败。