1st place$1,500
Winning project — placeholder
Team name TBD
Short write-up of the winning build will go here: problem, approach, and what made it stand out.
Demo / repo · Coming soon
Past eventRegistration closedETH Zurich · 1-day hackathon
Probabilistic Computing Hackathon
Build with probabilistic and thermodynamic computing.
A hands-on day for learning Energy-Based Models, the THRML framework, and emerging computing paradigms designed for the next generation of AI systems — theory, guided practice, and a team-based hackathon.
Date
June 10, 2026
Start
12:30 CEST
Location
Andreasstrasse 5, Zurich · Room S15
Capacity
Under 80 participants
About the event
Educational deep-dive plus real hackathon.
The event introduced probabilistic computing chips, Energy-Based Models, and THRML through theory, guided practice, and a team-based build day.
Core topics
- ·Probabilistic and thermodynamic computing
- ·Energy-Based Models
- ·THRML framework
Audience
- ·ETH students and researchers
- ·Industry professionals
- ·Teams of 1 to 4 participants
Agenda
Started at 12:30.
All times CEST, Zurich.
12:30
Lecture
Intro to probabilistic computing — theory and practice.
14:00
Extropic CEO Guillaume Verdon
Session with Extropic’s CEO.
14:30
Hackathon
Teams of 1 to 4 build projects with organizer and mentor support.
18:30
Dinner break
Food, reset, and final project preparation.
19:00
Demos
Short demos from each team followed by judging.
19:30
Announce winners
Prize announcements, closing remarks, and next steps for the community.
Results
Winning projects
$3,000 prize pool — 1st $1,500 · 2nd $1,000 · 3rd $500. Project write-ups and demos will be filled in here; placeholders for now.
2nd place$1,000
Runner-up project — placeholder
Team name TBD
Placeholder for the second-place project. Link to demos, repos, and write-ups once published.
Demo / repo · Coming soon
3rd place$500
Third-place project — placeholder
Team name TBD
Placeholder for the third-place project. Lifetime access packages below will unpack the ideas behind the winners.
Demo / repo · Coming soon
Study the winners
Lifetime access packages
We will ship All-You-Can-Learn packages built around the winning projects — so anyone can understand how they worked, not just watch a demo. Placeholders until the packages are live.
Lifetime access: winning project deep-dive
A curated learning environment built around the 1st-place project — concepts, practice paths, and the stack the team used. Pay once, fork yours for life.
Price TBD
One-time · Fork yours for life
Lifetime access: runner-up project deep-dive
Placeholder package so you can study the 2nd-place approach end-to-end — theory, implementation notes, and follow-on experiments.
Price TBD
One-time · Fork yours for life
Lifetime access: third-place project deep-dive
Placeholder package for the 3rd-place project. Will ship as an editorially curated workspace once the materials are ready.
Price TBD
One-time · Fork yours for life
Browse other lifetime packages on All-You-Can-Learn.
Optional preparation
Probabilistic Computing and Extropic AI approach
Fork the custom learning plan and adapt it to your level, needs, and interests — still useful after the event.
Open learning planTechnology context
About Extropic
Extropic is building energy-efficient computers for the AI-powered future by rethinking computing from physics fundamentals.
Core focus
Thermodynamic and probabilistic computing for generative AI and probabilistic workloads, targeting orders-of-magnitude lower power for inference and generation.
Key technology
Thermodynamic Sampling Units, the XTR-0 / X0 platform, and THRML — an open-source Python library for thermodynamic algorithms and TSU simulation.
Education context
About Uncertain Systems
Uncertain Systems accelerates technical education around emerging computing paradigms — clear lessons, hands-on projects, and public learning infrastructure.
Education accelerationism
Shorten the path from frontier research to practical understanding for students, researchers, and builders.
Why it matters
Probabilistic and thermodynamic computing will need a new generation of practitioners. We turn complex ideas into learnable, buildable material.
Sponsors and partners
Supported by
Registration
This event is closed.
The Probabilistic Computing Hackathon at ETH Zurich has concluded. Follow winning projects and lifetime packages above, or get in touch about hosting a future event.
Andreasstrasse 5, 8050 Zurich, Switzerland — Room S15
Host a hackathon with us
Organizer: Daniel Colomer