Finally, artificial authors writing for artificial readers 🤖

Today we have awesome news! The world's largest quantum chemistry dataset to empower new materials design and drug discovery published by scientists from AIRI ⚡️ To find out more read you can read an article on Phys.org: phys.org/news/2022-11-w…

Last days to apply for this doctoral position in the Prof. Tkatchenko’s group (TCPUniLu) at uni.lu . The successful candidate will collaborate with the Discovery Sciences Computational Chemistry team at AstraZeneca and be part of https://bsky.app/profile/aidd.bsky.social consortium. emea3.mrted.ly/38s6r

Introducing a generalist neural algorithmic learner, capable of carrying out 30 different reasoning tasks, with a 𝘴𝘪𝘯𝘨𝘭𝘦 graph network. These include: 🔵 Sorting 🔵 Shortest paths 🔵 String matching 🔵 Convex hull finding And more: dpmd.ai/3FC1FqA

I am very excited to start the industrial part of my PhD in @OkkoClev's team at Pfizer in Berlin. Looking forward to amazing research together with https://bsky.app/profile/aidd.bsky.social fellows Julian Cremer, Alan Kai Hassen (Alan Kai Hassen), and other members of the team. 1.03.2023

To make neural networks as modular as brains, We propose brain-inspired modular training, resulting in modular and interpretable networks! The ability to directly see modules with naked eyes can facilitate mechanistic interpretability. It’s nice to see how a “brain” grows in NN!

Are you a scientist ready to ride the 3rd wave of #AI? Excited by the potential impacts that #XAI is poised to make in #chemistry and #drugdiscovery? We have 14 open PhD positions within the AiChemist Project: aichemist.eu/openpositions. Apply now!

Graph Network for Materials Exploration (GNoME) was trained using ‘active learning’: a technique to scale up a model first trained on a small, specialized dataset. 📈 Developers can then introduce new targets, allowing machine learning to label new data with human assistance.

How much does your medical history reveal about your future? As a team effort of Moritz Gerstung and Ewan Birney's labs, we present Delphi-2M, a transformer for modelling future health based on past medical history. medrxiv.org/content/10.110…

I am hiring 3 postdocs at #KAUST to develop an Artificial Scientist for discovering novel chemical materials for carbon capture. Join this project with Francesco Faccio @ ICLR2025 🇸🇬 at the intersection of RL and Material Science. Learn more and apply: faccio.ai/postdoctoral-p…