Alain Tapp on How Deep, Deep Learning Really is?

Finding Genius Podcast

Richard Jacobs

Medicine, Health & Fitness

4.4 • 1K Ratings

🗓️ 2 March 2017

⏱️ 36 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

Alain Tapp is a veteran in technology, having done his masters in Cryptography, then a PhD in Quantum Computing and is now working on AI & Deep Learning.
Alain details how machine learning works, and what are some of the approaches to training machines to "learn" and interpret. From machines understanding metaphors and sarcasm to passing the Turing test, there are still many unreachable areas of natural language processing by machines.
Reinforcement Learning and the Deep Neural Networks could be the future of machine learning which could generally make an AI smarter over time.
This is a great interview and a must listen for all AI & Machine Learning enthusiasts.
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Transcript

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0:00.0	Welcome to Almost Here, Around the Corner of Future Technology Podcasts with Richard Jacobs.
0:07.9	Future Technologies are poised to transform our lives for better or worse for the focus of this podcast.
0:13.6	Almost here means these technologies are now here and starting to be used.
0:18.2	We're just around the corner.
0:19.7	From Bitcoin to artificial intelligence,
0:22.0	3D printing, blockchain, virtual reality, and more.
0:26.2	Hi, this is Richard Jacobs with Future Tech Podcast, almost here, around the corner technology.
0:32.6	Today, I have an interesting guest, Alan Tapp.
0:35.2	We're going to be talking about quantum computing, AI machine learning, and cryptography. How you doing, Alan Tapp, we're going to be talking about quantum computing, AI machine
0:38.7	learning and cryptography. How are you doing, Alan? Very good. It's nice to be here. Yeah.
0:45.7	Would you mind giving listeners a quick background of yours and then we'll launch into a particular
0:50.6	topic? Okay, so I did my study in mathematics and computer science,
0:57.2	and actually mathematics was a good idea because then I did a master in cryptography,
1:03.4	then a PhD in quantum computing, and for some year I was actually quite involved
1:10.0	in both in cryptography, quantum cryptography, quantum
1:12.7	computing and the like. But a few years ago, I took some decision, I took some time to think
1:20.5	about the second half of my academic career. And it became obvious that it was the right time to make a significant change in my career and do artificial intelligence.
1:34.3	And now for three or four years it's been my patient.
1:38.3	And I've been recently involved with Mila, a research group here in University of Montreal.
1:46.0	And yeah, I like all of those topics very much.
1:51.1	So what does your current work?
1:53.4	What are you focused on most intently?
	...

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