IRIS.ai – Synthesizing the World's Research

Finding Genius Podcast

Richard Jacobs

Medicine, Health & Fitness

4.4 • 1K Ratings

🗓️ 30 June 2017

⏱️ 32 minutes

🔗️ Recording | iTunes | RSS

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Summary

There are about 150 million research papers in the world. Just consider that briefly: 150 million. There are 3,000 papers in science, technology, and medicine being published every single day. Our knowledge of ourselves and the world is growing at an exponential rate. So how are we going to keep track of all this information?
A company called IRIS.ai is designing an A.I. researcher to do just that: to keep track, to keep tabs on the world's research. The goal is to build an A.I. system that can take a question or an input and troll through all the research papers and patents in that area. Having done that, the goal is to report back—not only with the aggregated search results, but with a clear understanding of what it means as a greater whole.
Tune in to learn more about IRIS.ai. Be sure to subscribe and review. And if you can, consider donating some BitCoin to the cause.

Transcript

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0:00.0	Welcome to Almost Here, Around the Corner of Future Technology Podcasts with Richard Jacobs.
0:07.4	Future technologies are always to transform our lives for better or worse or the focus of this podcast.
0:13.1	Almost here means these technologies are now here and starting to be used.
0:17.1	We're just around the corner, from Bitcoin to artificial intelligence, 3D printing,
0:22.5	blockchain, virtual reality, and more.
0:25.2	Hey, this is Richard Jacobs with Future Tech Podcast. My guest today, I'm going to say her
0:31.1	name properly, but I don't know if I'll do it. Anita Breida. Anita, how you doing?
0:36.5	Good, thank you. Thank you for having me.
0:38.5	Yeah. Yeah, she's with a company, a CEO and co-founder of a company called Iris.
0:43.0	The website is iris.aI, iris.a.
0:47.1	So Anita, can you tell listeners what Iris does?
0:50.4	Yeah, so our ultimate goal is to build an AI researcher, as in an AI system that can take a problem
0:56.9	statement or research questions, go out and scout all existing literature in the world, all patents,
1:03.0	etc., create new knowledge on top of that knowledge, go test it in an simulation environment,
1:08.6	and then come back to the human. So an AI researcher.
1:12.2	But that's our 10-year plan. And we, of course, have a smaller starting point than that.
1:16.9	That's extremely ambitious. You know, maybe it's obvious, but I still would like to know.
1:24.0	Why would that be of use to people if you had a machine that, is it interpreting and
1:30.2	reading all these papers or is it just gathering them all in one place, you know, research papers,
1:34.8	patents, et cetera?
1:36.1	Right.
1:36.4	So it's reading them and understanding them.
	...

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