At this year’s Consumer Electronics Show in Las Vegas, LG focused solely on artificial intelligence for the majority of its presentation.
During a major press conference at the CES, LG demonstrated how its washing machines can adjust cycles depending on the weather, air quality and the exercise schedule of their owners through AI. It also explained how their air conditioners would know when to turn itself off and on according to their owners’ habits. In addition, its robot vacuums would be able to tell apart householders and furniture.
Most importantly, LG announced a highly anticipated deal with Google. Google Assistant would be included in LG TVs at the end of 2018 and allow users to command household appliances remotely through voice control on the TV.
Whilst the details of LG and Google’s collaboration have yet to be revealed, it is very likely that Google’s Assistant will work with LG's own AI platform ThinQ instead of replacing it. From the new smart TVs’ demo video, users communicated with ThinQ, which then bounced content-related requests to Google Assistant.
The integration of multiple AI platforms represents one of the main challenges within the consumer electronics industry. As such, what LG and Google are doing could potentially be groundbreaking, as they are working towards to streamlining separate, and even competing systems.
Another major obstacle relating to AI is the difficulty of making it seem more authentic and smart. This was evident in LG’s setback during the press conference.
CLOi, a robot that is designed to provide domestic help, did not respond to David VanderWaal - LG vice president of marketing - when asked to set the LG washing machine to a personalized setting suitable for a gym fanatic.
CLOi’s failure to respond to Mr VanderWaal’s command raises concern on technology’s reliability, not only at public demonstrations such as CES, but also more widely in everyday life.
Many who work in the AI industry understand that the incorporation of AI into household items is still in its formative stages. We should be prepared to face failure, but remain hopeful for what the future holds for AI technology.
Source: Financial Review