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, 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 :
CoRL2025 – RobustDexGrasp: dexterous robot hand grasping of nearly any object
Hui Zhang
11 Nov 2025
A new reinforcement learning framework enables dexterous robot hands to grasp diverse objects with human-like robustness and adaptability—using only a single camera.
Robot Talk Episode 132 – Collaborating with industrial robots, with Anthony Jules
Robot Talk
07 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Anthony Jules from Robust.AI about their autonomous warehouse robots that work alongside humans.
Teaching robots to map large environments
MIT News
05 Nov 2025
A new approach could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.
Robot Talk Episode 131 – Empowering game-changing robotics research, with Edith-Clare Hall
Robot Talk
31 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Edith-Clare Hall from the Advanced Research and Invention Agency about accelerating scientific and technological breakthroughs.
A flexible lens controlled by light-activated artificial muscles promises to let soft machines see
The Conversation
30 Oct 2025
Researchers have designed an adaptive lens made of soft, light-responsive, tissue-like materials.
Social media round-up from #IROS2025
Lucy Smith
27 Oct 2025
Take a look at what participants got up to at the IEEE/RSJ International Conference on Intelligent Robots and Systems.
Using generative AI to diversify virtual training grounds for robots
MIT News
24 Oct 2025
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.
Robot Talk Episode 130 – Robots learning from humans, with Chad Jenkins
Robot Talk
24 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chad Jenkins from University of Michigan about how robots can learn from people and assist us in our daily lives.
