LG Electronics is developing proprietary deep learning-based artificial intelligence (AI) technology with the roll-out of its own AI development tool to all LG business divisions. This is "in line with its efforts to speed up the release of new products equipped with the latest technology".
LG says DeepThinQ 1.0 was developed last year with the establishment of the group's Artificial Intelligence Lab in South Korea, to accelerate research into AI. The platform enables easy integration of AI into a wider range of products, allowing LG product developers to apply deep-learning technologies to future products, including the recently announced AI brand ThinQ.
"DeepThinQ is the embodiment of our open philosophy - to provide the most powerful AI solutions to our customers via a strategy of open platform, open partnership and open connectivity," says IP Park, CTO at LG Electronics.
"ThinQ will completely change the way consumers use our products, because ThinQ products will learn about them to provide intelligent services, not the other way around."
DeepThinQ 1.0 uses AI functions such as voice, video and sensor recognition and space and human body detection, developed with data gleaned from usage habits of LG customers over the years. It supports a variety of operating platforms such as Android, Linux and webOS.
LG products developed on the DeepThinQ platform educate themselves using cloud servers to become smarter over time.
For example, the LG ThinQ air conditioner learns customers' living patterns over time and cools the room automatically to the temperature preferred by the occupant. In the car, LG's cabin monitoring technology learns the driver's facial expressions and gestures and recognises the moment the driver starts to get drowsy. LG says eventually, ThinQ will be able to automatically adjust the music, lighting or climate inside the car by learning about the passengers who most often occupy the car.
Other examples include LG's Airport Guide Robots at Korea's Incheon International Airport, which employs sophisticated ambient noise to improve voice recognition, enabling passengers to be better understood. LG's robot vacuum cleaner also learns the difference between a chair and a dog, for example, and navigates accordingly.
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