ΑΙhub.org
Computing Up – Michael Carbin computes the winning ticket and more
Michael Carbin, Assistant Professor of Electrical Engineering and Computer Science at MIT, joins Michael Littman and Dave Ackley to discuss neural net lottery tickets, computing with uncertainty and more.
This content is cross-posted with the permission of the authors.
Computing Up
Conversations about computation writ large, with Michael Littman and Dave Ackley.
Computing Up
Conversations about computation writ large, with Michael Littman and Dave Ackley.
AIhub is supported by:
Related posts :
Data centers consume massive amounts of water – companies rarely tell the public exactly how much
The Conversation
24 Sep 2025
Why do data centres need so much water, and how much do they use?
Interview with Luc De Raedt: talking probabilistic logic, neurosymbolic AI, and explainability
Liliane-Caroline Demers
23 Sep 2025
AIhub ambassador Liliane-Caroline Demers caught up with Luc de Raedt at IJCAI 2025 to find out more about his research.
Call for AAAI educational AI videos
AIhub
22 Sep 2025
Submit your contributions by 30 November 2025.
Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award
Lucy Smith
19 Sep 2025
Method for improving ball detection can also be applied in other fields, such as precision farming.
How AI is opening the playbook on sports analytics
University of Waterloo
18 Sep 2025
Waterloo researchers create simulated soccer datasets to unlock insights once reserved for pro teams.
Discrete flow matching framework for graph generation
Manuel Madeira and Yiming Qin
17 Sep 2025
Read about work presented at ICML 2025 that disentangles sampling from training.
We risk a deluge of AI-written ‘science’ pushing corporate interests – here’s what to do about it
The Conversation
16 Sep 2025
A single individual using AI can produce multiple papers that appear valid in a matter of hours.
Deploying agentic AI: what worked, what broke, and what we learned
Real World Data Science
15 Sep 2025
AI scientist and researcher Francis Osei investigates what happens when Agentic AI systems are used in real projects, where trust and reproducibility are not optional.