Biggest Challenge For Smart Home AI Is, Well, Becoming Smarter
National Science Foundation awarded William Yeoh a grant of $300,000 to assist in developing smart-home AI algorithms that can figure out what a user wants by asking questions and making smart, educated guesses. It should then be able to plan and schedule accordingly. The system will also explain why it has drawn up the specific schedule and communicate that to its owner. Communication is not AI’s strengths. Interaction with people is an important aspect of an AI system if it is going to help people.
The first step in this project is figuring out what the user actually wants: The temperature to be 70 degrees at home upon arrival; the car fully charged by 8 a.m.; and so on. And it must decipher what the user doesn’t want: The air conditioner set at full-blast all day long, or the car to charge during peak hours.
Since the AI system cannot badger the user about every single tiny detail or preference, the research tries to figure out how many questions should be asked and what should they be. It should then be also able to answer and explain why something is done the way it is done when asked, such as turning off lights at specific times to save energy.
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