Robohub.org
 

Machine learning for sports & realtime predictions, w Microsoft Research’s Danny Tarlow


by
31 July 2015



share this:

aerial_view_football_field_stadiumIn episode sixteen we chat with Danny Tarlow of Microsoft Research Cambridge (in the UK not MA). Danny (along with Chris Maddison and Tom Minka) won best paper at NIPS 2014 for his paper A* Sampling. We talk with him about his work in applying machine learning to sports and politics.

Plus we take a listener question on making real time predictions using machine learning, and we demystify backpropagation. You can use Torch, Theano or Autograd to explore backprop more.



tags: , , ,


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





Related posts :



The science of human touch – and why it’s so hard to replicate in robots

  24 Dec 2025
Trying to give robots a sense of touch forces us to confront just how astonishingly sophisticated human touch really is.

Bio-hybrid robots turn food waste into functional machines

  22 Dec 2025
EPFL scientists have integrated discarded crustacean shells into robotic devices, leveraging the strength and flexibility of natural materials for robotic applications.

Robot Talk Episode 138 – Robots in the environment, with Stefano Mintchev

  19 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Stefano Mintchev from ETH Zürich about robots to explore and monitor the natural environment.

Artificial tendons give muscle-powered robots a boost

  18 Dec 2025
The new design from MIT engineers could pump up many biohybrid builds.

Robot Talk Episode 137 – Getting two-legged robots moving, with Oluwami Dosunmu-Ogunbi

  12 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Oluwami Dosunmu-Ogunbi from Ohio Northern University about bipedal robots that can walk and even climb stairs.

Radboud chemists are working with companies and robots on the transition from oil-based to bio-based materials

  10 Dec 2025
The search for new materials can be accelerated by using robots and AI models.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence