Three upcoming AI4Materials workshops and schools.
- May 5-8, ML4MD cost-daemon.eu/project/05-0...
- June 2-5, VMD25 www.cecam.org/workshop-det...
- June 9-13, ML4MMR cost-daemon.eu/project/09-1...
22.02.2025 17:44 — 👍 1 🔁 0 💬 0 📌 0
GitHub - JuDFTteam/best-of-atomistic-machine-learning: 🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎. - JuDFTteam/best-of-atomistic-machine-learning
Best of atomistic machine learning list, major update. 60 new projects added. Seven universal potentials enter the list, along with an equal share of new generative, active learning, and electronic structure models, datasets and community resources. go.fzj.de/baml
19.08.2024 14:58 — 👍 3 🔁 0 💬 0 📌 0
IOPscience - Focus on Quantum Chemistry and Artificial Intelligence – learning from each other
Great news from Machine Learning: Science and Technology: Stefan Vučković and Attila Cangi are curating a collection titled ‘Quantum Chemistry and AI: Learning from each other’. More info here: iopscience.iop.org/collections/... #MachineLearning #compchem Submissions are open! 🎉🧪⚗️ #ChemSky
06.03.2024 13:14 — 👍 3 🔁 2 💬 0 📌 1
Home
REGISTER HERE SUBMIT AN ABSTRACT Prologue Day at FZJ on 11 June Unconference Venue Enabling the prediction of natural disasters.
Advancing cancer identification and screening.
Aiding the creation...
The Helmholtz AI Conference and its barcamp satellite events are a great venue for #AI4Science research and hands-on experiences.
They are open to everybody to attend and contribute, not just for Helmholtz people.
haicon24.de
#HAICON #HAICON24
22.02.2024 12:44 — 👍 0 🔁 0 💬 0 📌 0
JuRSE
The research software engineer community JuRSE at Forschungszentrum Jülich now has its own web presence. www.fz-juelich.de/en/rse
22.02.2024 12:43 — 👍 0 🔁 0 💬 0 📌 0
The Psi-k Workshops 2024 Poster is out. psi-k.net/2024-psi-k-f...
22.02.2024 12:42 — 👍 1 🔁 0 💬 0 📌 0
In data-driven materials science, do we need a Europe-wide conversation on community standards for code, data and workflows, as well as materials representations and algorithms? I think yes. The cost-daemon.eu meeting in Rome started that conversation. You can join, too.
17.02.2024 07:24 — 👍 2 🔁 0 💬 0 📌 0
Building scientific superintelligence to solve humankind's greatest challenges.
The HammerHAI initiative is a redefining AI adoption with secure, scalable, and user-friendly supercomputing. Supporting industry and research, it ensures compliance and advances AI expertise across Europe.
Visit our website: www.hammerhai.eu
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
EurIPS is a community-organized, NeurIPS-endorsed conference in Copenhagen where you can present papers accepted at @neuripsconf.bsky.social
eurips.cc
DevRel at Posit. Author of Python Polars: The Definitive Guide & Data Science at the Command Line
Cheminformatics, ML, Drug Discovery
Graduate Student, UC Berkeley | HPC and Parallel Computing | Details at vivek-bharadwaj.com
Computational physics/chemistry, and some ML
prev: PhD @ Ghent University 🇧🇪, AI researcher @ Orbital Materials 🇬🇧
now: postdoc @ Rotskoff group (Stanford University)
Principal Research Manager & Project lead @ Microsoft Research AI for Science; AI for materials; Previously @ MIT, DeepMind, Google X. Views my own.
The Erwin Schrödinger International Institute is a visitors-oriented research institute for mathematics and physics at the University of Vienna @univie.ac.at
www.esi.ac.at
Deutschlands größte Wissenschaftsorganisation
Webseite: https://www.helmholtz.de
Mastodon: https://helmholtz.social/@helmholtz
Impressum: https://www.helmholtz.de/socialmedia
Cofounded and lead PyTorch at Meta. Also dabble in robotics at NYU.
AI is delicious when it is accessible and open-source.
http://soumith.ch
Building AI climate models at Google. I also contribute to the scientific Python ecosystem, including Xarray, NumPy and JAX.
Opinions are my own, not my employer's.
ML/AI researcher & former stats professor turned LLM research engineer. Author of "Build a Large Language Model From Scratch" (https://amzn.to/4fqvn0D) & reasoning (https://mng.bz/Nwr7).
Also blogging about AI research at magazine.sebastianraschka.com.
https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
I share non-hype ML & AI with 8+ years XP
🌦 Machine Learning at ECMWF
💾 Fellow at SSI
You miss 99% of benchmarks you don't overfit on!
🏳️🌈 they
AI @ OpenAI, Tesla, Stanford
Professor of Theoretical Chemistry @sorbonne-universite.fr & Head @lct-umr7616.bsky.social| Guest Faculty @ Argonne| Co-Founder & CSO @qubit-pharma.bsky.social (My Views) |
https://piquemalresearch.com | https://tinker-hp.org
Computational chemist at the University of Copenhagen. Editor-in-Chief PeerJ Physical Chemistry. #compchem
Research scientist & computational chemist at Berkeley Lab using HT DFT workflows, machine learning, and reaction networks to model complex reactivity.
