research eng @GoogleDeepMind running https://nitter.gq/t.co/s28iQKIr1M prev: founder @DiceHealth, researcher @AIatMeta @VectorInst
Toronto, Canada
Joined April 2018
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sshkhr retweeted
ladies of toronto! we’re hosting an ai policy workshop tomorrow 💗
learn about stories where ai agents hid what they were doing, worked around restrictions, and accessed systems they weren’t supposed to, then design a policy grounded in canadian law.
bring a bestie 🫶
@joinairess x ml systems toronto x @newsystems_
luma.com/s36du42j
sshkhr retweeted
We're looking for our founding design engineer. Someone who builds with care and intention, who is willing to bet on a vision for AI that makes people believe they can be ambitious in ways they couldn't be before.
More details at design[dot]ambition[dot]inc
sshkhr retweeted
In case you don't know, we're maintaining a repo with summer schools worldwide
Some are free
I highly recommend joining summer schools early in your career
sshkhr retweeted
The Montreal Expos are exiting the baseball space. During Q2 and Q3 2026, we will transition to acquiring high-performance GPU assets. This is all part of our long-term vision to become a fully integrated GPU-as-a-Service (GPUaaS) and AI-native cloud solutions provider.
sshkhr retweeted
The main goal of Bayesian ML research is to show that all methods which have previously been shown to work well in practice are somehow approximately Bayesian
Transformers are Bayesian Networks
arxiv.org/abs/2603.17063
sshkhr retweeted
We sent out the first edition of our newsletter this week. Give the web version a read - hot off the press 👇
And if you wanna stay updated on new machine learning summer schools, upcoming deadlines, and latest research news, subscribe to us!
newsletter.awesome-mlss.com/…
sshkhr retweeted
We are happy to announce Curator, an open-source library designed to streamline synthetic data generation!
High-quality synthetic data generation is essential in training and evaluating LLMs/agents/RAG pipelines these days, but tooling around this is still entirely lacking!
So we built Curator, and I think it has easily 10x'ed our productivity in creating post-training datasets!
We are cooking a lot of good features and examples to be released in the future, so you don't want to miss this!
🧵More info below!
sshkhr retweeted
What kind of childhood makes a top scientist? Is it enough to have all the right traits (brilliance, grit, etc) or do you need the right family too?
And why should we care? A 🧵 on our paper on the Nobel Laureates.
A teaser: the income distribution of the laureates' fathers.1/N
sshkhr retweeted
Really excited about the release of the Open-Vocabulary Mobile Manipulation Benchmark and Challenge! This comes in after nearly an year long effort to build the simulation and real world codebases.
The future of robot butlers starts with mobile manipulation.
We’re announcing the NeurIPS 2023 Open-Vocabulary Mobile Manipulation Challenge!
- Full robot stack ✅
- Parallel sim and real evaluation ✅
- No robot required ✅👀
aihabitat.org/challenge/2023…
sshkhr retweeted
Very excited that this work earned an Outstanding Paper Award at ICLR! Congratulations to @erikwijmans and my other incredible co-authors, @ManolisSavva, @stefmlee, @irrfaan, and @DhruvBatraDB!
blog.iclr.cc/2023/03/21/anno…
sshkhr retweeted
I made a chatbot that controls browser by writing Selenium code at @scale_AI #GenerativeAI hackathon with @Tiancaixinxin. Thanks for prompt advice from @goodside. So glad I met @karpathy. It's similar to @natfriedman @AdeptAILabs @BrowseAI. blog and code: yihui.dev/actgpt
sshkhr retweeted
📢My group at @CMU_ECE is looking for Ph.D. students in #Algorithms #MLSys (ddl Dec 15)!
Let’s shed new light on classical algorithms, make ML more accessible to the general community, and advance interdisciplinary research (science?!) together!
🙏Plz help spread the world.
sshkhr retweeted
How can Transformers and other nets implement general-purpose learning algorithms in-context? Training on 2^14 tasks leads to strong generalization. Diff. to scaling laws, the memory size matters more than parameter count!
Meta-Learn Workshop #NeurIPS2022
louiskirsch.com/gpicl
sshkhr retweeted
Hello twitterworld!
I’m looking for PhD positions in #MARL. My research is focused on MARL in mixed environment settings. If you’re hiring PhD students, please do reach out. I’ll also be at #NeurIPS2022 all next week and I’d be happy to chat over coffee.