Past, Present and Future of AI

Amazing panel, moderated by Diane Greene, at Google I/O ’17 about "Past, Present and Future of AI". Françoise Beaufays, Fei-Fei Li (@drfeifei), Fernanda Viégas (@viegasf) and Daphne Koller (@DaphneKoller) depict, in a truly insightful and "buzz free" way, what AI already can achieve and has the potential to become.

The whole panel is really worth watching. I selected some great sentences from Fei-Fei Li, mainly because they are less domain specific, hence easier to understand in isolation (at 8:18).


Around 2010, thanks to the convergence of the maturing of statistical Machine Learning tools, the convergence of big data brought to us by the Internet and by the sensors and the convergence of computing to more better hardware, these three pillars came together and lifted AI from the in vitro stage into what I call the in vivo stage. AI in vivo is where IA is making a real impact to the world.


It’s just the beginning. Every single industry that we see at Cloud Google is going to a transformation because of data, because of AI and Machine Learning and this is what I see as the historical moment… AI is going to impact and transform the field.


But I also do wanna say it’s just the beginning. The tools and the technologies we have developed in the field of AI are really the first few drops of water in a vast ocean of what AI can do. We cannot over promise but there should be tremendous excitement that we can do a lot of more work to make this AI in vivo happen.

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