AI+Super Computing

We chat with Pete Worden, director of NASA's Ames Research Center, and Bob Lee, CTO of Square, about quantum computing, NASA's collaboration with Google, and fraud prevention. For more about our discussion, visit http://radar.oreilly.com/2013/07/podcast-quantum-computing-with-pete-worden-and-bob-lee.html

More on this episode

Quantum Computing with Pete Worden and Bob Lee

Many of the most successful companies have their foundations in university labs -- from data science to the web browser itself. Yet the process of moving from research project to successful startup isn't always straightforward. With the goal of smoothing this process and continuing to bridge entrepreneurs across academia and industry, we began the a16z Professor-in-Residence program just last year. And this year's newly anointed Andreessen Horowitz Distinguished Visiting Professor of Computer Science is Dan Boneh, Professor of Computer Science and Electrical Engineering at Stanford University as well as Co-director of the Stanford Computer Security Lab.

In this episode of the a16z Podcast, we sit down with Boneh to chat about applied vs. theoretical math and computer science; what's missing and what's next with "usable" security (including various authentication approaches); and current and future trends in cryptography, bitcoin, and more. Boneh also shares his thoughts on MOOCs (massive open online courses) as the "21st century version of the textbook". Oh, and on when quantum computing will finally happen... and why we should (and shouldn't!) freak out about it. Yet.

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a16z Podcast: Crypto, Security, CS, Quantum Computing, and More with Our New Professor-in-Residence

Quantum computing. The dream of the 1980s is alive in 2015. But this time is different, for a number of reasons. What are the applications, beyond cryptography? And, what’s the point of it all — are the benefits of quantum computing truly going to be a difference of kind vs. of degree? And if so, how will it change what we already know about computers, from languages to coding to UIs to everything?

While it’s counterintuitive for us to imagine something so infinitesimally small, Ilyas Khan of Cambridge Quantum Computing helps us make the quantum leap in our minds … in this special edition of the a16z Podcast, brought to you from London.

a16z Podcast: Quantum Leap

What is A.I. or artificial intelligence but the 'space of possible minds', argues Murray Shanahan, scientific advisor on the movie Ex Machina and Professor of Cognitive Robotics at Imperial College London.

In this special episode of the a16z Podcast brought to you on the ground from London, Shanahan -- along with journalist-turned-entrepreneur Azeem Azhar (who also curates The Exponential View newsletter on AI and more) and The Economist Deputy Editor Tom Standage (the author of several tech history books) -- we discuss the past, present, and future of A.I. ... as well as how it fits (or doesn't fit) with machine learning and deep learning.

But where are we now in the A.I. evolution? What players do we think will lead, if not win, the current race? And how should we think about issues such as ethics and automation of jobs without descending into obvious extremes? All this and more, including a surprise easter egg in Ex Machina shared by Shanahan, whose work influenced the movie.

a16z Podcast: Artificial Intelligence and the 'Space of Possible Minds'

Inaugural John Bell Day lecture to commemorate Bell's Theorem which was first submitted for publication on 4th November 1964

Science: Talk on Quantum Computing by Eric Ladizinsky

with Fei-Fei Li (@drfeifei), Frank Chen (@withfries2), and Sonal Chokshi (@smc90)
 
Who has the advantage in artificial intelligence — big companies, startups, or academia? Perhaps all three, especially as they work together when it comes to fields like this. One thing is clear though: A.I. and deep learning is where it’s at. And that’s why this year’s newly anointed Andreessen Horowitz Distinguished Visiting Professor of Computer Science is Fei-Fei Li [who publishes under Li Fei-Fei], associate professor at Stanford University. Bridging entrepreneurs across academia and industry, we began the a16z Professor-in-Residence program just a couple years ago (most recently with Dan Boneh and beginning with Vijay Pande).

Li is the Director of the Stanford Vision Lab, which focuses on connecting computer vision and human vision; is the Director of the Stanford Artificial Intelligence Lab (SAIL), which was founded in the early 1960s; and directs the new SAIL-Toyota Center for AI Research, which brings together researchers in visual computing, machine learning, robotics, human-computer interactions, intelligent systems, decision making, natural language processing, dynamic modeling, and design to develop “human-centered artificial intelligence” for intelligent vehicles. Li also co-created ImageNet, which forms the basis of the Large Scale Visual Recognition Challenge (ILSVRC) that continually demonstrates drastic advances in machine vision accuracy.

So why now for A.I.? Is deep learning “it”… or what comes next? And what happens as A.I. moves from what Li calls its “in vitro phase” to its “in vivo phase”? Beyond ethical considerations — or celebrating only “geekiness” and “nerdiness” — Li argues we need to inject a stronger humanistic thinking element to design and develop algorithms and A.I. that can co-habitate with people and in social (including crowded) spaces. All this and more on this episode of the a16z Podcast.

AI+Super Computing

Bill O'Brien 3