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Voices in AI – Episode 70: A Conversation with Jakob Uszkoreit

Author: Byron Reese / Source: Gigaom

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Today’s leading minds talk AI with host Byron Reese

About this Episode

Episode 70 of Voices in AI features host Byron Reese and Jakob Uszkoreit discuss machine learning, deep learning, AGI, and what this could mean for the future of humanity.

Jakob has a masters degree in Computer Science and Mathematics from Technische Universität Berlin. Jakob has also worked at Google for the past 10 years currently in deep learning research with Google Brain.

Visit www.VoicesinAI.com to listen to this one-hour podcast or read the full transcript.

Transcript Excerpt

Byron Reese: This is Voices in AI, brought to you by GigaOm. I’m Byron Reese. Today our guest is Jakob Uszkoreit, he is a researcher at Google Brain, and that’s kind of all you have to say at this point. Welcome to the show, Jakob.

Let’s start with my standard question which is: What is artificial intelligence, and what is intelligence, if you want to start there, and why is it artificial?

Jakob Uszkoreit: Hi, thanks for having me. Let’s start with artificial intelligence specifically. I don’t think I’m necessarily the best person to answer the question what intelligence is in general, but I think for artificial intelligence, there’s possibly two different kind of ideas that we might be referring to with that phrase.

One is kind of the scientific or the group of directions of scientific research, including things like machine learning, but also other related disciplines that people commonly refer to with the term ‘artificial intelligence.

’ But I think there’s this other maybe more important use of the phrase that has become much more common in this age of the rise of AI if you want to call it that, and that is what society interprets that term to mean. I think largely what society might think when they hear the term artificial intelligence, is actually automation, in a very general way, and maybe more specifically, automation where the process of automating [something] requires the machine or the machines doing so to make decisions that are highly…

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