Event alarm ⏰! Tomorrow at 11 AM, we will be hosting a FAIRmat seminar at the CSMB from Janosh (now at Radical AI). I am sure he will have a lot to share about AI for materials science and his experience coding pymatgen and at the Materials Project.

Our own AI research scientist Janosh will be hosting a seminar on all things AI x Materials tomorrow. If you are interested in hearing from one of the leading experts in this field make sure to attend.

What are the compelling messages regarding self-driving labs that would help a mid-career bench chemist to decide on a first step getting into the field? (Likely will pull some ideas from chemrxiv.org/engage/chemrxi… and pubs.rsc.org/en/content/art…)

Our first Science Jubilee tool being auto-loaded and unloaded youtube.com/shorts/teSs34K…. Thanks to Yakavets Ilya!

Opentrons pipette aspiration and dispensing while the front cover is removed. Thanks Yakavets Ilya for getting this connected! youtu.be/Mom4fOIcTo4?si…. Thanks Nis Fisker-Bødker for being my third hand during the video 😉

Well done Yakavets Ilya for implementing the first workflow on our science-jubilee.readthedocs.io! youtube.com/shorts/nBIITxI…

ac-microcourses.readthedocs.io

"Open source is free like a puppy" great response from Sarah Newman from Prefect while discussing the value proposition and sustainability of commercialized open source solutions

Check out a new editorial Chemistry of Materials on Bridging Solid-State Materials Chemistry and Data Science. Thanks Taylor Sparks and co-authors! pubs.acs.org/doi/10.1021/ac…

Controlling a remote instrument from an ELN - the SDL-light #13 youtube.com/live/qbqxSKJ1F… via YouTube Taylor Sparks Sterling G. Baird Check out your instrument in the wild!

So great to see. Thanks for giving the light mixing demo a try!

Any thoughts/suggestions on temporary credentials for remote access to equipment or models? accelerated-discovery.org/t/assigning-te…

A much delayed #BOHackathon presentation on input warping for Bayesian optimization in GAUCHE. Many thanks to Mathieu Sang Truong and Anthony Onwuli for collaborating and Sterling G. Baird and Acceleration Consortium (AC) for organizing! Code: github.com/leojklarner/ga…

Doing research on probabilistic modeling, decision-making under uncertainty, or efficient learning and optimization? Come to NeurIPS to present your work! Submissions due August 29th. gp-seminar-series.github.io/neurips-2024/

Great spirit and impressive turnout at our workshop for Democratisation of self-driving labs Acceleration Consortium (AC) 2024 conference University of British Columbia! Impressive hands-on demonstrations of low-cost SDL solutions 🙌#TeamCAPeX @toniobuonassisi Sterling G. Baird Brenden Pelkie Danmarks Grundforskningsfond DTU

The "AI + Robotics" field has exploded in recent years. To stay on top of what's happening, we've put together a comprehensive review: "Self-Driving Labs for Chemistry and Materials Science", with Martin Seifrid & Alan Aspuru-Guzik – now out in Chemical Reviews! pubs.acs.org/doi/10.1021/ac…

🔬Learn what self-driving labs are and why they’re a game-changer for innovation by signing up for the University of Toronto School of Continuing Studies certificate in Autonomous Systems for Discovery instructed by Sterling G. Baird! learn.utoronto.ca/curiousu-blog/…

Today, we're joining The AI Alliance, a global network co-founded by IBM + #Meta shaping the future of open, safe + responsible AI. Together we'll develop trusted open-source AI tools + foundation models to #accelerate scientific discovery. Learn more ↗️ bit.ly/ac-aialliance

Mad props to lead author Sterling G. Baird who was also passing through SLC this week!

What I consider to be perhaps my most impactful work to date, the product of years of being in the space of Bayesian optimization for materials. Have a look!