Nest Learning Thermostat learns user habits and programs itself

While programmable thermostats are nothing uncommon these days, many users adjust the temperature manually utilizing the thermostat's basic feature only. On the other hand, it's certainly difficult to develop an appropriate program corresponding to the volatility of daily life. Designed by a team led by ex-Apple engineer Tony Fadell, the Nest Learning Thermostat offers a new take on automatic temperature adjustment. Featuring a simple knob-based design, the unit is capable of self-programming itself via a combination of its user's habits, activity sensors and Internet-gathered weather information, thus increasing energy savings without much effort on the user's part.

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