Smart thermostat
In 2011, Nest Labs developed the Nest Learning Thermostat. The Nest Thermostat attempted to reduce home energy consumption by addressing the problems with programmable thermostats through the use of better technology. This new technology included the implementation of sensors, algorithms, machine learning, and cloud computing. These technologies learn the behaviors and preferences of the occupants, and adjust the temperature up or down to make the occupant comfortable when they are home and to save energy when they are away. Additionally, the Nest Thermostat connects to the home Wi-Fi. This allows users to change the temperature, adjust the schedule, and check energy usage from a smartphone or laptop. All of these features were part of Nest's goal to create an easy to use thermostat that saves users energy and money.
Wireless site survey
Passive and active surveys are performed using software and typically require only a compatible off-the-shelf Wi-Fi adapter; no additional specialized hardware is required. Predictive surveys require no hardware at all, as no wireless data collection is needed. Currently, professional-level site survey applications exist primarily for Microsoft Windows. Some site survey applications for other platforms, including iOS and Android, also exist, however they are limited in functionality due to the limitations of the underlying platform API. For example, signal level measurements cannot be obtained on iOS without jailbreaking. The feasibility of creating professional-level applications for non-Windows tablets is debated.