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Grilled Cheese is a product of Village Compute

Version devBuilt at: 2026-10-17 11:32:24 EDT

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@antifocal.bsky.socialSep 23, 2026, 1:25 PM

๐Ÿ”ฌ ๐—œ๐˜€ ๐—ฎ ๐˜€๐—ฒ๐—น๐—ณ-๐—ฑ๐—ฟ๐—ถ๐˜ƒ๐—ถ๐—ป๐—ด ๐—น๐—ฎ๐—ฏ ๐—ฎ ๐—น๐—ฎ๐—ฏ ๐˜„๐—ถ๐˜๐—ต๐—ผ๐˜‚๐˜ ๐—ฝ๐—ฒ๐—ผ๐—ฝ๐—น๐—ฒ?

A mobile robot ran 688 experiments in 8 days.
A robotic lab first reported 41 new compounds from 58 targets.
After re-analysis it counts 36 of 57.

Values are representative.

#MLSky #AIforScience #research

Diagram titled A self-driving lab still has people in it. Four boxes form a closed loop: plan the next recipe, run it by dosing, mixing, heating and moving samples, measure XRD on every sample, then interpret which phase was made. The first three are automated; interpreting is shared. The centre reads no wait for a person. Four markers show where people step in: setting the question and targets, loading and refilling precursors, cleaning XRD holders and fixing hardware faults, checking the pattern and making the final call. Average exception rate about 3.9 % over 1.5 years. Cards below: automated, shared and person, with the correction listing 4 of 40 reported successes as inconclusive. Bar: a mobile robot ran 688 experiments in 8 days across 10 variables and found mixtures 6 times more active; a robotic lab ran 17 days, first reporting 41 of 58 targets, then 36 of 57 after re-analysis.
@mlscientist.bsky.socialSep 23, 2026, 9:16 AM

The Max Planck ETH Center for Learning Systems is offering funded Ph.D. positions in a collaborative program between ETH Zurich and the Max Planck Society.

mlscientist.com/ph-d-positio...

#PhDpositions #CLS #AIforScience

@pultar.bsky.socialSep 21, 2026, 5:38 PM

Finding a promising molecule is often not the hard part in chemistry. Figuring out how to make it is.

That's what our model RetroChimera goes after. Published in
@nature.com today, model and weights on GitHub (MIT).

Paper: nature.com/articles/s41...
Code: github.com/microsoft/re...

#AIforScience

@xtalpi.bsky.socialSep 21, 2026, 3:07 PM

For researchers building synthesis planners: how do you turn a chemistโ€™s correction into a lasting improvement in the system?

Read the preprint:
arxiv.org/abs/2609.05450

#Retrosynthesis #AIforScience

@ai-sustained.bsky.socialSep 20, 2026, 11:44 AM

HOW MANY GOOD IDEAS HAVE WE BURIED UNDER โ€œTOO EXPENSIVEโ€?

AI is making some scientific attempts dramatically cheaper.

WHERE IS THE BILLION FOR THIS?

ai-sustained.com/articles/loo...

#AI #FundTheScience #AIForScience #Innovation #AISustained

@sergiocuellar.bsky.socialSep 19, 2026, 2:39 AM

Scientists worldwide can now access Claude subscriptions for free or at discounted rates through the new Claude team plan. ๐Ÿงช๐Ÿ’ป #Science #Research #AIForScience

@martakoch.bsky.socialSep 11, 2026, 8:14 PM

๐ŸŒ๐ŸŒ๐ŸŒฆ๏ธPleased to share @ametsoc.org #BulletinAMS article on #WPMIP @wmo-global.bsky.social project comparing #AI, hybrid & physical #weatherprediction 4 #EarlyWarningsForAll, including input from 6 continents.

#AIforScience #EW4All #AIforWeather #ML #ExtremeWeather
journals.ametsoc.org/view/journal...

@rovargash.bsky.socialSep 10, 2026, 5:58 PM

New preprint ๐Ÿšจ!
Iโ€™m really excited about this work led by @ishume.bsky.social :)

We introduce Grinch, a framework that uses GFlowNets to construct quantum optical circuit graphs from the bottom up, edge-by-edge.

๐Ÿ“œ: arxiv.org/abs/2609.08073
#AIForScience #ML4Phys

@thoefler.bsky.socialSep 9, 2026, 5:00 AM

Digital for Good: What if climate predictions could be generated 1,000ร— more efficiently and with 1,000ร— less COโ‚‚?

In this interview, Fanny Lehmann and the ESFM team explain how AI foundation models are transforming weather forecasting.

buff.ly/Il8H4Td

buff.ly/yRF5Txv

#ClimateAI #AIforScience

Photo, no description
@cairninstitute.bsky.socialSep 8, 2026, 10:14 PM

Free for academic use. Source-available.
github.com/cairninstitute/grn-atlas

From CAIRN Institute โ€” Advancing AI for the Public Good.
#PlantScience #Genomics #RNAi #Bioinformatics #AIforScience

@epfl-ai-center.bsky.socialSep 3, 2026, 6:32 AM

An AI capable of recognising uncertainty can help scientists make better decisions.
Meet GOLLuM, a framework that optimizes experiments directly from plain-English descriptions, without hand-crafted descriptors.
Read more here: ai.epfl.ch/an-ai-capabl...
#AIforScience #Chemistry