Robohub.org
Future of machine learning, w. Geoffrey Hinton, Yoshua Bengio, Yann LeCun (Part 2)
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:
- Talking Machines: History of machine learning, w. Geoffrey Hinton, Yoshua Bengio, Yann LeCun (part 1)
- Artificial General Intelligence that plays Atari video games: How did DeepMind do it?
- Inside DeepMind
- Google’s robot and artificial intelligence acquisitions are anything but scary
- Google’s DeepMind acquisition in reinforcement learning
- Why robots will not be smarter than humans by 2029
See all the latest robotics news on Robohub, or sign up for our weekly newsletter.
tags: Algorithm AI-Cognition, c-Research-Innovation, cx-Education-DIY, Geoffrey Hinton, interview, podcast, Yann LeCun, Yoshua Bengio
Talking Machines
is your window into the world of machine learning.
Talking Machines
is your window into the world of machine learning.
Related posts :
A draft open standard for an Ethical Black Box
Within the RoboTIPS project, we have developed and tested several model of Ethical Black Boxes, including one for an e-puck robot, and another for the MIRO robot.
19 May 2022, by
Alan Winfield
Unable to attend #ICRA2022 for accessibility issues? Or just curious to see robots?
There are many things that can make it difficult to attend an in person conference in the United States and so the ICRA Organizing Committee, the IEEE Robotics and Automation Society and OhmniLabs would like to help you attend ICRA virtually.
17 May 2022, by
Silicon Valley Robotics
ep.
350
podcast
Duckietown Competition Spotlight, with Dr Liam Paull
Dr. Liam Paull, cofounder of the Duckietown competition talks about the only robotics competition where Rubber Duckies are the passengers on an autonomous driving track.
17 May 2022, by
Abate De Mey
Designing societally beneficial Reinforcement Learning (RL) systems
In this post, we aim to illustrate the different modalities harms can take when augmented with the temporal axis of RL. To combat these novel societal risks, we also propose a new kind of documentation for dynamic Machine Learning systems which aims to assess and monitor these risks both before and after deployment.
15 May 2022, by
BAIR Blog
Innovative ‘smart socks’ could help millions living with dementia
‘Smart socks’ that track rising distress in the wearer could improve the wellbeing of millions of people with dementia, non-verbal autism and other conditions that affect communication.
13 May 2022, by
University of Bristol
Swiss Robotics Day showcases innovations and collaborations between academia and industry
The 2021 Swiss Robotics Day marked the beginning of NCCR Robotics’s final year. The project, launched in 2010, is on track to meet all its scientific goals in the three areas of wearable, rescue and educational robotics, while continuing to focus on supporting spin-offs, advancing robotics education and improving equality of opportunities for all robotics researchers.
10 May 2022, by
NCCR Robotics