news    views    podcast    learn    |    about    contribute     republish    

Future of machine learning, w. Geoffrey Hinton, Yoshua Bengio, Yann LeCun (Part 2)

March 17, 2015

We hear the second part of our conversation with with Geoffrey Hinton (Google and University of Toronto), Yoshua Bengio (University of Montreal) and Yann LeCun (Facebook and NYU), who talk with us about the history (and future) of research on neural nets. 

We explore how to use Determinantal Point Processes. Alex Kulesza  and Ben Taskar (who passed away recently) have done some really exciting work in this area, for more on DPPs check out their paper on the topic.

Also, we take a listener question about machine learning and function approximation (spoiler alert: it is, and then again, it isn’t).

If you liked this article, you may also be interested in:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.

Talking Machines is your window into the world of machine learning... read more


comments powered by Disqus


Halodi Robotics’ EVEr3: A Full-size Humanoid Robot
May 13, 2019

Are you planning to crowdfund your robot startup?

Need help spreading the word?

Join the Robohub crowdfunding page and increase the visibility of your campaign