LG opens new North America AI lab
Lab will add to LG's global network of AI research facilities
LG has announced a new AI research lab in Canada to develop AI technology.
The company has launched its LG Electronics AI Research Lab in Canada, an extension of the newly expanded LG Silicon Valley AI Lab which is part of its network of AI labs in South Korea, India and Russia.
LG also announced a new research partnership with the University of Toronto, which is recognized worldwide for its AI and machine learning expertise, particularly in the area of deep learning.
"AI will ultimately touch everybody's lives, transforming the way we live, work and play," said LG Electronics President and Chief Technology Officer Dr IP Park. "Early implementations of AI in connected devices today are setting the stage for tomorrow's smart cities, smart homes, smart businesses and smart devices, all with capabilities that no one has even dreamed of yet."
Under its five-year, multi-million-dollar research partnership with the University of Toronto, LG will build on its Open Platform-Open Partnership-Open Connectivity strategy to expand the AI ecosystem. The new lab will capitalize on the expertise of researchers at the University of Toronto who will now have the opportunity to work collaboratively with LG's growing US and Canadian AI R&D teams. Complementing this work, LG intends to collaborate with and invest in North American start-ups.
University of Toronto President Meric Gertler commented: "The University of Toronto looks forward to partnering with an innovative global company like LG as our researchers continue to advance the boundaries of artificial intelligence. The presence of such leading, multi-national firms in our innovation ecosystem strengthens opportunities for our faculty, students and start-up companies across a whole range of disciplines."
Dr Park said that the labs will focus on AI based on deep learning: "AI solutions based on deep learning will revolutionize how we interact with the world around us, in new seamless ways that use contextual data from things like biometrics, emotions, gestures and of course voice."