What there should be is a *single* place where one deposits a standard letter for all students. This would be much more scalable and sustainable.

YESSS!!!

Ever had the sudden urge to taste something in the lab? Now you can! (For legal reasons: you can't) FART (Flavor Analysis and Recognition Transformer) is the first machine learning model to simultaneously predict four taste classes – sweet, sour, bitter, umami - from chemical structure alone!

What a time to be alive

Me, a moron: I don't need a local TeX installation, Overleaf works so well and is so easy! Overleaf: like every online service that exists, goes down from time to time. Me: shocked Pikachu.

For those of you looking for a big helping of LLMs for Thanksgiving, here you go! 🤖🦃 📝 arxiv.org/abs/2411.15221 We release 34 examples demonstrating applications of LLMs in materials science and chemistry across: 🔶molecular and material property prediction; 🔷molecular and material design; ...

If only scholarly publications came with a short synopsis of the paper right up front, written by the authors to highlight the important and salient points of the study. We could give it a nifty name, like "abstract".