🧠 @uwaterloo 's flagship AI student design team
🛠️ ML, RL, hardware, research & more
🌎 Retweets/likes/follows not endorsements. Members' views are their own.
@ammiellewb from https://t.co/RWC5ofiRuU's Preference RL team showing off their first prototype! After recording how a human finishes a task, they're using sample efficient RL to quickly teach the robot how to do the task itself. Excited to continue our investments in robotics 💪
hello waterloo ai enthusiasts, @uwwatai core member applications opened yesterday! i wrote about my perspective on the hiring process, including what i looked for in applications. i hope this sheds some light on the process and makes it a bit less opaque. (these are my personal thoughts and not affiliated with watai)
https://t.co/VcXhst2i6X
if you don't know what im talking ab, check out https://t.co/7PzytUGDy7 to learn more ab our club! we also have an active discord server too
We're hiring!
Me and @johnliaojl recently joined @uwwatai as a Technical Project Managers and we're building GradusRL, a soft robot quadruped trained with reinforcement learning this fall to winter.
Recruiting core members from uw across hardware, software, and RL. Link to apply in the replies 👇
Core member applications are now open!
If you are interested in getting hands-on experience in AI and ML for real-world applications we encourage you to apply!
Apply through this link by Sept 18th @ 11:59 pm: https://t.co/Cy3OJmFhUr
We're pitting UW vs UofT head to head at an ML hackathon... @uwwatai@UTMIST1 👀
Come rep your school or the one you think is cooler 🥶
Backed by some very exciting sponsors, revealed soon!
🗓️ Sept 12-13 @ UofT
‼️ Apply now on https://t.co/kOIkYXSEXG before Fri Sept 4
Waterloo and UofT students📢
We’re doing a competitive Waterloo vs UofT hackathon at @UWwatai and @UTMIST1 🏆
Will take place on September 12-13 on UofT
Applications close next Friday (September 4) so sign up quick!
We have some exciting sponsors to be revealed soon…
Update on our robot learning project with @aboraatakan at @uwwatai.
We went from ~30% to 99.8% success on our pick-and-place task by updating our policy from a DINO ViT + transformer policy to a CNN + MLP. Our old model was memorizing the training data and transferring poorly to closed-loop rollouts, so we went the other way and made the model smaller.
The attached video is the CNN + MLP policy running in sim on our async inference stack. We demoed it live for a few hours: 4 failures over 2000+ randomized scenes. This experience has been useful to confirm our stack's correctness. We are now ready to move to hardware!
Next: real hardware, diffusion policy, open-weight fine-tunes, and RL.
Reach out if you're interested in collaborating, and stay tuned.
Check out what WorldFold (https://t.co/MztxYVLe39 S26) has been up to this term! (Research commentaries)
https://t.co/CBdBoK2WO6
https://t.co/DLreYF1yNO
https://t.co/D5CXNC6Jtu
Join us for the S26 End of Term Showcase, a night celebrating the projects our teams have worked on. Expect deep dives into RL, robotics, LLMs, world models, and more.
📅 Mon, July 27 | 6-9PM 📍 E7/PSE Ideas Clinic, 1st Floor
Imagine teaching robots new tasks just by showing them videos.
@aboraatakan and I started this as a research idea, then built it into a @uwwatai research group with an amazing @UWaterloo team.
We now have our first MuJoCo sim stack for data collection, rollouts, debugging, training, async real-time inference, and a policy at ~30% success.
Next: bigger models, RL, and post-training recipes.
Huge thanks to @BerkayAntmen and @coolboi95 for the mentorship.
Reach out if you’re interested in collaborating, and stay tuned!
Don’t box yourself into “research person” or “industry person.” The strongest builders develop both.
That’s what https://t.co/RWC5ofiRuU is built for. 💛
Director Applications are open. If you want to help students find their launch vector, apply today, https://t.co/dsfcOtb6fJ
Ethan’s path shows what happens when curiosity turns into real technical growth. 💪
Through https://t.co/RWC5ofiRuU, he learned how to work through ambiguity, lead people, and build the kind of technical confidence that carries into real engineering environments.
Grinding Leetcode for job apps? 😉 Join our upcoming workshop to automate your job search with Skyvern's opensource browser agents! On Monday June 29th at 5 PM, we'll walk through how it works, then demo it live on automated job applications.
Signup at https://t.co/Re9KJixVdx
That is the kind of culture Directors help create at https://t.co/RWC5ofiRuU. 💛
Applications are open. Step into the team, shape the community, and help more students find their first serious AI project. Apply using the link -> https://t.co/dsfcOtb6fJ
From https://t.co/RWC5ofiRuU project rooms to Bloomberg internships and startup building, Ryan’s path shows how far hands-on AI experience can take you.
Ryan’s takeaway is simple: great technical work is not just about chasing prestige or perfect credentials.
Director applications are your chance to help be a part of and build this environment for the next generation of builders at https://t.co/RWC5ofiRuU. 💛
💥 Apply for https://t.co/RWC5ofiRuU Director Applications today, https://t.co/dsfcOtb6fJ
Meet Trevor Yu: former https://t.co/RWC5ofiRuU VP Operations, now applying AI in healthcare at FluidAI Medical! 🤯
At https://t.co/RWC5ofiRuU, Trevor helped organize technical teams, support projects, and build the kind of community where people learn by shipping real work.
This is the https://t.co/RWC5ofiRuU pipeline in action. 💛
💥 Want to create contribute meaningfully to the AI ecosystem like Jarett? Apply today for https://t.co/RWC5ofiRuU directorship -> https://t.co/dsfcOtb6fJ
Co-founding https://t.co/RWC5ofiRuU to conducting ML research at MIT! 🤯
His advice? Don’t wait until you feel "ready." Build tangible projects, get comfortable with not knowing everything, and learn by doing the messy work.