In a wide-ranging interview with VentureBeat, Google AI chief Jeff Dean has discussed the company's early work on the use of ML to create semiconductors for machine learning, the impact of Google's BERT on conversational AI, and machine learning trends to watch in 2020. An excerpt from the interview where Dean talks about some of the trends one could expect to emerge, or milestones he thinks might be surpassed in 2020 in AI: I think we'll see much more multitask learning and multimodal learning, of sort of larger scales than has been previously tackled. I think that'll be pretty interesting. And I think there's going to be a continued trend to getting more interesting on-device models -- or sort of consumer devices, like phones or whatever -- to work more effectively. I think obviously AI-related principles-related work is going to be important. We're a big enough research organization that we actually have lots of different thrusts we're doing, so it's hard to call out just one. But I think in general [we'll be] progressing the state of the art, doing basic fundamental research to advance our capabilities in lots of important areas we're looking at, like NLP or language models or vision or multimodal things. But also then collaborating with our colleagues and product teams to get some of the research that is ready for product application to allow them to build interesting features and products. And [we'll be] doing kind of new things that Google doesn't currently have products in but are sort of interesting applications of ML, like the chip design work we've been doing. Further reading: AI R&D is Booming, But General Intelligence is Still Out of Reach.
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