Today we're sharing a major Skala update: new paper and model release. Skala is a deep-learned XC functional for DFT: 2.8 kcal/mol on GMTKN55, wins 32/55 subsets & surpasses SOTA hybrids in accuracy at semi-local cost.
Paper: https://t.co/UEyLSM42TI
Code: https://t.co/6KLFciAkNy
We're excited to reveal this major advance in computational chemistry, an AI model called Skala @MSFTResearch for the exchange-correlation functional, accurate enough, and super fast, for precise in silico predictions of chemical experiments. An early access program is now open.
🚀 After two years of intense research, we’re thrilled to introduce Skala — a scalable DL density functional that hits chemical accuracy on atomization energies and matches hybrid-level performance on main group chemistry — all at the cost of a semi-local functional. ⚛️🔥🧪⚗️🧬
🚀 After two+ years of intense research, we’re thrilled to introduce Skala — a scalable deep learning density functional that hits chemical accuracy on atomization energies and matches hybrid-level accuracy on main group chemistry — all at the cost of semi-local DFT. ⚛️🔥🧪🧬
Aurora, a new AI foundation model from Microsoft Research, can transform our ability to predict and mitigate extreme weather events and the effects of climate change by enabling faster and more accurate weather forecasts than ever before. https://t.co/ITju7C7Jbw
Excited to introduce Aurora: a foundation model of the atmosphere. In <1min, Aurora produces 5-day global air pollution predictions and 10-day high-resolution weather forecasts that outperform SOTA classical simulation tools and the best specialized deep learning models… 1/n
We have now released the denoising diffusion model codebase! It includes:
🏋️ Pretrained models
✅ Easy sampling and evaluation
💻 Full model and training scripts
Check out our repository here: https://t.co/img4OgHx52
[1/N] Generative AI has revolutionized how we create text and images. How about designing novel materials? We at @MSFTResearch#AI4Science are thrilled to announce MatterGen: our generative model that enables broad property-guided materials design.
👇
https://t.co/wDExZ3zWcd
📢Internship opening in the Microsoft AI4Science team in Amsterdam or Berlin!
Join our interdisciplinary team working on computational chemistry and deep learning ⚛️
https://t.co/XlheYvr06k
📢 Call for Participation! The 18th Workshop for Women in Machine Learning (#WiML2023) will be co-located with the @NeurIPSConf in New Orleans, Louisiana on 11th December 2023. Deadline for submissions - September 15th, 2023. Find the full CFP here: https://t.co/Ae2hxiRcAP
Serving as General Chair of this year WiML Un-Workshop was a great experience!
Big thanks to my awesome co-organizers, to @MandanaSamiei (who worked very hard with us but could not join due to visa issues), and to everyone who contributed and participated in the workshop 🌟
A big thank you to @KrPriyadarshini@GiuliaLuise1@tifding@steph_milani and Arianna Bunnell for the amazing job organizing WiML un-workshop. Working with you has been an incredible experience, and I am deeply grateful.
Panel discussion of #WiML Un-Workshop is starting now in 316C! Join us to hear from our amazing panelists @jpineau1, Pascale Fung, @YaoQinUCSD, @RihabGrs 🌺
🗣️ It's time for an empowering panel discussion! Join Joelle Pineau, Pascale Fung, Yao Qin, and Rihab Gorsane as they discuss fostering women's leadership in AI and the future of machine learning. Hall 316C, be there! #WiMLUnWorkshop2023#WomenInAI
Come join our @WiMLworkshop breakout session discussion at #icml2023 on “Data, Diversity, and Downstream Impacts” 2-3pm today in 326B
Everyone is welcome!!!
📢 See you at another intriguing talk at #WiMLUnWorkshop2023 by Rihab Gorsane (Instadeep, Tunisia) discussing her personal journey in AI at an African startup. She will be presenting in Hall 316C! 🎊#AI
Thanks to Arianna Bunnell and @steph_milani for all the hard work in putting this evening together, it was great!
Looking forward to #WiML Un-Workshop tomorrow, that will start at 9.15am in 316C at the Hawaii convention centre!🌺