Been so packed and with things here and planning for next week*
didn't really get to celebrate paper getting accepted. But yay it's out in the wild now. Outside my immediate wheelhouse Nanoparticle synthesis, but came out of a student initiated project after he took my class on programming and automating experiments.
Will go into details later

https://pubs.rsc.org/en/Content/ArticleLanding/2025/DD/D5DD00335K

*https://mastodon.online/@SRDas/115485523783755958

#AutomatedScience #ML (kinda) #Chemistry

Archetype AI’s Newton model learns physics from raw data—without any help from humans

Archetype AI's 'Newton' model learns physics from sensor data, promising breakthroughs in industrial applications and scientific discovery.

VentureBeat

🎧Tune in to this lively conversation between Michael Upshall and CNI Director Clifford Lynch on a recent Charleston Hub #ATGthePodcast episode, where they cover Cliff's career, the conception and history of CNI, and some predictions about what's ahead in the field

Listen at: https://www.charleston-hub.com/podcast/atgthepodcast-251-a-conversation-with-clifford-lynch-executive-director-of-the-coalition-for-networked-information-cni/

#ScholComm #RDM #CloudLabs #AutomatedScience #ResearchData #AcademicLibraries #ResearchLibraries

ATGthePodcast 251 – A Conversation with Clifford Lynch, Executive Director of the Coalition for Networked Information (CNI) | Charleston Hub

The Potential for AI in Science and Mathematics - Terence Tao

YouTube

As the CMU Cloud lab starts up, I'm excited by the possibilities. I got pulled in to contribute to a podcast episode along with a colleague in computational biology, Andreas Pfenning. No advance prep really - it came together at the last minute. We talked about #AutomatedScience

[20 min episode]
https://ai.cmu.edu/episode-5-automated-science

#Automation #Science

Episode 5: Automated Science

Listen to the Where What If Becomes What's Next Podcast Episode 5.

AI at CMU