내용 : Although deep learning means that machines can recognise speech more reliably and talk in a less stilted manner, they still don’t understand the meaning of language. That is the most difficult aspect of the problem and, if voice-driven computing is truly to flourish, one that must be overcome. Computers must be able to understand context in order to maintain a coherent conversation about something, rather than just responding to simple, one-off voice commands, as they mostly do today (“Hey, Siri, set a timer for ten minutes”). Researchers in universities and at companies large and small are working on this very problem, building “bots” that can hold more elaborate conversations about more complex tasks, from retrieving information to advising on mortgages to making travel arrangements. (Amazon is offering a $1m prize for a bot that can converse “coherently and engagingly” for 20 minutes.)
해석 : 딥 러닝으로 인해서 컴퓨터가 목소리를 더 정확하게 인식하고 말을 그럴 듯 하게 할 수는 있지만, 여전히 언어의 의미를 이해하지는 못한답니다. 이러한 부분이 극복되어야만 단순히 응답을 하는 수준이 아닌 복잡한 문제들에 대해서 사용자와 지속적이고 관련있는 대화가 가능한 그런 “보트”의 시대가 열릴 수 있는 것입니다.
요점 : 딥 러닝에도 한계가 있으며 개선을 통하여 궁극의 VR의 미래를 제시함.