There was collaboration attempt between CMU, Tsinghua, Meta, CWI, Nvidia, Voltron, & SpiralDB. But then lawyers got involved and it fell apart. Everyone released their own format:
→ Meta Nimble: github.com/facebookincu...
→ CWI FastLanes: github.com/cwida/FastLa...
→ SpiralDB Vortex: vortex.dev

On Thursday, @oovcharenko.bsky.social will present her research on "scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data". This paper is joint work with ETH Zuerich and was selected as a spotlight poster:

icml.cc/virtual/2025...

(2/3)

(3) I will give a talk at @deem-workshop.bsky.social on Friday at 13:30 on reducing resource needs of deep learning training pipelines. Thanks, @madelonhulsebos.bsky.social, for the invitation!

Papers, presentations, posters, & codebases are (or will soon be) available at RAD website (rad.itu.dk).

(2) "Modyn: Data-Centric Machine Learning Pipeline Orchestration" will be presented at SIGMOD 2nd Poster Session (Wed, 4pm). Very happy to be in this collaboration with ETH EASL team. Interested in ML model training on dynamic, growing datasets, visit the poster or reach out, especially to Maxi. 👇

(1) Karl B. Torp is presenting his @itu.dk MSc project work on GPU-Initiated I/O at the DaMoN workshop on Monday. This work is a collaboration with Simon Lund from Samsung Denmark. We are exploring the next steps in this line of work. If you are interested, come talk to us during SIGMOD. 👇