@aidailypost.comFrom climate modeling to fusion breakthroughs, 17 orgs are supercharging research with AI. See how Google.org‑backed labs and AI agents are reshaping science—and why it matters for the next big discovery. #AIforScience #MachineLearning #MaterialsDiscovery
@maryajide.com🔬 Want to go deeper into the science behind the visualisation?
I’ve written more about the concepts behind the film, its scientific context and how it connects with the research direction of AIM²E® Lab
Read more → aim2elab.com/from-atomic-...
@informaq.bsky.socialResearchers discovered that incorporating parity labels—information about mirror symmetry—into ML model architecture eliminates physically impossible predictions for crystalline materials, improving accuracy by six orders of magnitude.