@cuspai.bsky.social is hiring! 🚀 Looking for an ML engineer to join me on foundation models for materials discovery → property prediction → real customer deployments. The full loop. Brilliant team, big problems, real impact. 📍Amsterdam / Berlin / Cambridge / London bit.ly/4jEEePN

Applied AI/ML Engineer (Property Prediction Foundational Models)

Due to the rapid scaling of our scientific intelligence and data curation capabilities, we are seeking an Applied AI/ML Engineer to build and apply multi-modal foundation models to solve a broad range...

bit.ly

It was great to work on the ODAC25 paper with the Meta FAIR Chemistry and Georgia Tech. A leap forwards in modelling direct air carbon capture with metal organic frameworks, with much better data and larger models. Paper: arxiv.org/abs/2508.03162 Data and models: huggingface.co/facebook/ODA...

The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture

Identifying useful sorbent materials for direct air capture (DAC) from humid air remains a challenge. We present the Open DAC 2025 (ODAC25) dataset, a significant expansion and improvement upon ODAC23...

arxiv.org

Spending the Easter days prepping for #ICLR2025 in #singapore 😍🤩 If you want to meet/catch up on #CuspAI #AI4Science #MachineLearning and/or ML for #materials / #simulation ping me.! DMs are open :) My lovely colleagues Sina, @sindylowe.bsky.social and Govert are around too!

Singapore bound for #ICLR2025 next week! ✈️ Diving into foundation models for materials these days - would love to connect if you're in this space! Ping me for a chat ☕ Also excited to see the brilliant @takerumiyato.bsky.social present our paper as an oral. Don't miss it! 🌈

Andreas Geiger@andreasgeiger.bsky.social · last yr.

Synchronization is ubiquitous in nature and a key mechanism for information processing in the brain. We introduce AKOrN as a dynamical alternative to threshold units, which can be combined with MLPs, CNNs or Transformers. ICLR'25 Oral. Project page: takerum.github.io/akorn_projec...

Synchronization is ubiquitous in nature and a key mechanism for information processing in the brain. We introduce AKOrN as a dynamical alternative to threshold units, which can be combined with MLPs, CNNs or Transformers. ICLR'25 Oral. Project page: takerum.github.io/akorn_projec...

As 2024 wraps up, sharing my biggest highlight of the year: defending my PhD in November! Five years of research condensed into one hour of intense discussion - and somehow it was very fun! Thankful, proud, and excited for the next chapter 🎓✨