One thing that even relatively senior ML people often fail to grasp is that deep learning models are curves fitted to a data distribution. You cannot expect them to solve tasks outside of their training distribution (which is the sort of thing that you need intelligence for).
"Emergent learning" is an incorrect label -- if a model demonstrates performance on task A that it wasn't trained on, that simply means that there is significant overlap between A and all the data that you did train on. Competence doesn't magically emerge out of nowhere.
@RolandDunbrack@Nature@GoogleDeepMind Often the authors want to release code, and it's an uphill battle to convince the company, lawyers, investors. The second the journal indicated they would accept w/o code, the authors lost all leverage.
The journal ( @nature ) has failed the community, not the authors.
Oh nice! @Nature publishes another amazing advertisement for an amazing product masquerading as a scientific publication with no code, no model & a webserver that allows 10 queries at a time from a billion dollar company. But it's "gold" open access folks! Rejoice!
We are hiring! 📢
Do you want to do a PhD in biotechnology and charaterize proteins in the interface of
microbial denitrification and lignocellulose degradation?
Come join our #ERCfunded team!
https://t.co/WIaJZPiZRs
Very proud of @dawappett's massive paper on the development of the new MME55 set for metalloenzyme reactions incl. a comprehensive benchmark analysis of DFT methods. #compchem#dft#ozchem https://t.co/npzYKERDKC
Such a huge honour to receive an @ERC_Research Consolidator Grant #ERCCoG to explore the enigma of oxidative lignocellulose degradation in anaerobic environments.
Big thanks to everyone who has made this success possible!
@UniNMBU @ThePopeLab@EijsinkLab
Our work @epr_essex@mikehough73 on radical migration in #peroxidases is now published as a 🔥 article in @ChemicalScience
New insights into controlling radical migration pathways in heme enzymes gained from the study of a dye-decolorising peroxidase https://t.co/0HIbNi6tKv
Three weeks ago I finally defended my PhD, and now I'm looking for new opportunities!
If you or someone you know are looking for a new team member and are working with microbiomes, meta-omics or anything in between, let's chat!
We had a blast at our Summer School last week in Gelsenkirchen and would like to thank all participants for their enthusiasm and highly motivated exchange during the event! 🙏 We're looking forward to see you all again 🤩
More information 👇https://t.co/YvU2JKVrHb
We are proud to share that Prof. Frank Neese was granted with the 2024 ACS National Award in Inorganic Chemistry!
Thanks for all the amazing work so far. We all know that the source of good work there is quite powerful and there is still more to come 🥳.
https://t.co/gkLx80rJvh