yes deep learning research has a ton of headroom for RSI to discover, but our field is highly empirical!
AI certainly accelerates research progress, but takeoff seems constrained by research compute alloc
It's time for 🇨🇭/acc
Thermodynamic programming hackathon at ETH Zurich in early June.
Stay tuned for new open source libraries coming from us @extropic very soon!
Einstein revolutionized physics as a professor at ETH Zurich.
Now, on June 10th, the same halls will host the Probabilistic and Thermodynamic Computing Hackathon.
Hands on with Energy Based Models and the tools and frameworks from the @extropic team led by CEO
@GillVerd. They are building physics first AI chips for the post GPU era.
Sponsored by ETH Future Computing Laboratory (EFCL), ExtropicAI & myself (Uncertain Systems)
$3000 prizes. Under 80 seats Sign-up now:
https://t.co/en4nPb5BlE
We are honored to be featured in the latest @TwoMinutePapers video!
You all can watch the full video here:
https://t.co/FS2WP9vubn
Here’s a short clip from it: