Happy to share a major milestone: after years of development, we are officially launching Version 1.0 of the GeometricKernels library!
To top it off, our accompanying paper has just been published in JMLR (MLOSS)! 🎉
https://t.co/orSv60ydUX
Introducing AlphaGenome: an AI model to help scientists better understand our DNA – the instruction manual for life 🧬
Researchers can now quickly predict what impact genetic changes could have - helping to generate new hypotheses and drive biological discoveries. ↓
We are looking a PhD Student Researcher at Google DeepMind for 2025 summer! Strong publication record and technical skills on machine learning and genomics preferred. Need to be 80% for a few months. Team in London. Looking forward to hear from you!
I’m really excited to be attending NeurIPS and presenting our work on efficient fine-tuning of pre-trained diffusion models for SOTA conditional generation. Come chat with us on 12th Dec (Thursday) at 11am!
Thread below (🧵) -
@glouppe I also didn't realise how important this was until I recently started at DeepMind, where large parts of my time are spent optimising throughput.
@realGeorgeHotz Transformers have the ability to play chess without explicit search, reaching an ELO of ~2800 in blitz, as shown in https://t.co/FtvUrniHB7
@markvanderwilk@PTenigma Hey Mark! We've developed a python package for spherical harmonics in d-dimensions that might be of interest to you. https://t.co/MthOOctbIJ
Computing the fourier coefs in high dimensions is typically hard but for zonal functions it reduces to a 1D integral using Funk-Hecke thm.
A highlight of the #NeurIPS2023 meetup in Cambridge for me was Carl Rasmussen's keynote on "Halting Climate Change". Spoiler: it has nothing to do with AI.
Worth a watch: https://t.co/LCBXEof26Q
Introducing a novel Langevin-based conditional sampler, our model scales to fit complex scalar/vector fields in both Euclidean & manifold codomains, exemplified by forecasting tropical hurricanes as per the illustrated figure.
as well as a keynote presentation by prof Carl Rasmussen on his latest research on climate change policy.
Finally, prof @lawrennd will chair a panel discussion on "AI for Social Good".
There are still a couple of places left for the NeurIPS@Cambridge meetup next week, Dec 8th. Priority will be given to people presenting a poster.
Registration & full schedule on https://t.co/9QnJFqsW1Q