With cognitive function, reward learning, and some sort of teacher distillation, this system learns a quite robust forehand within 36,000 steps๐
With cognitive function, reward learning, and some sort of teacher distillation, this system learns a quite robust forehand within 36,000 steps๐
The human body has 600+ muscles, yet we seamlessly coordinate them for everything from whispering a syllable to felling a forrest. How? www.arxiv.org/abs/2508.18066
The human body has 600+ muscles, yet we seamlessly coordinate them for everything from whispering a syllable to felling a forrest. How? www.arxiv.org/abs/2508.18066
Weโre testing a new JupyterLab plugin that compares how different notebooks tackle the same problem.
๐ง Who can join?
โข Data analysis learners
โข University instructors/students
โข Machine learning engineers
๐ When: Aug 18โ29, 2025
๐ Where: Zoom or in person
๐ฐ Pay: 25 CHF/h
Just wanted to show off the office a bit! ๐
More nature views coming soonโฆ
Just wanted to show off the office a bit! ๐
More nature views coming soonโฆ
We sat with Google Fellow Urs Hรถlzle. From optimizing data centers to AI efficiency, AGI, autonomous vehicles & Europeโs AI outlookโdonโt miss this insightful conversation.
On Spotify: open.spotify.com/episode/5Tu9...
or Apple Podcast: podcasts.apple.com/us/podcast/c...
We sat with Google Fellow Urs Hรถlzle. From optimizing data centers to AI efficiency, AGI, autonomous vehicles & Europeโs AI outlookโdonโt miss this insightful conversation.
On Spotify: open.spotify.com/episode/5Tu9...
or Apple Podcast: podcasts.apple.com/us/podcast/c...
#Beijing
#Beijing
The PhD investigates policies to accelerate supply chain development for net-zero technologies like hydrogen through agent-based and energy system modeling.
Details: emea2.softfactors.com/job-opening/...
Apply until 31.01.2025.
Please share!
The PhD investigates policies to accelerate supply chain development for net-zero technologies like hydrogen through agent-based and energy system modeling.
Details: emea2.softfactors.com/job-opening/...
Apply until 31.01.2025.
Please share!
#EPFL #academicsky
go.bsky.app/73zdbtp
#EPFL #academicsky
go.bsky.app/73zdbtp
The findings in MQAT highlight the potential of exploiting modularity in neural networks for efficient and performant compression/adaptation.
Check out the #TMLR paper for details!
We show how modular mixed-precision quantization boosts performance & reduces model size for edge devices! ๐ฏ
๐ Page: saqibjaved1.github.io/MQAT_/
#DeepLearning #Robotics #AI #6Dpose #edgeAI
The findings in MQAT highlight the potential of exploiting modularity in neural networks for efficient and performant compression/adaptation.
Check out the #TMLR paper for details!
youtu.be/6gTjxQLwK4o?...
source: Vincent Weisser
youtu.be/6gTjxQLwK4o?...
source: Vincent Weisser
still imo retracting the paper is unlikely, I wonder how neurips will react
still imo retracting the paper is unlikely, I wonder how neurips will react
Thoughts?
#continual
Thoughts?
#continual