Explore

@science-pubmed.bsky.social Sep 28, 2026, 1:54 AM

🤖 Free master prompt: paste into ChatGPT / Claude / Gemini → your AI becomes a PubMed paper-chat assistant. Grounded strictly in the abstract you paste. Grad students, postdocs, PIs welcome. Unlimited use in your own subscription. https://sciencepubmed.net/en/lab/toolkit/ #AIforScience #PhDchat

@antifocal.bsky.social Sep 26, 2026, 2:28 PM

🔬 𝗗𝗼𝗲𝘀 𝗕𝗮𝘆𝗲𝘀𝗶𝗮𝗻 𝗼𝗽𝘁𝗶𝗺𝗶𝘀𝗮𝘁𝗶𝗼𝗻 𝗸𝗻𝗼𝘄 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗿𝗲𝗰𝗶𝗽𝗲 𝗶𝘀?

Tested points plus uncertainty make a map; the next run goes where the score peaks.
Engineer first, algorithm last: $52,000 to target vs $105,000 alone.

Figures as reported.

#MLSky #AIforScience #research

Diagram titled How the next experiment gets chosen. The upper plot, The map, shows five tested points, a predicted curve and an uncertainty band, wide in the untested gap. The lower plot, The score, peaks inside that gap at the point marked next experiment. Labels: Exploit, go where the prediction is high. Explore, go where the band is wide. Card one, Benchmark of 5 materials datasets: finding 80% of the top 5% of 600 printed structures takes about 75 samples with one lengthscale per variable, 85 with a random forest model and 170 with one lengthscale for all. Card two, Plasma etch game with 11 parameters, simulated process: 105,000 dollars to target for a senior engineer alone, a median 52,000 dollars for engineer first, algorithm last. Dark bar: up to 8 times faster than random sampling; 13 of 300 algorithm-only runs beat the engineer; half the cost. Footer: People are strongest early in the search; the algorithm is strongest near a tight target.

@antifocal.bsky.social Sep 24, 2026, 5:16 AM

🔬 𝗜𝘀 𝗮 𝗱𝗮𝘁𝗮 𝗳𝗶𝗹𝗲 𝗲𝗻𝗼𝘂𝗴𝗵 𝗳𝗼𝗿 𝗮𝗻 𝗔𝗜 𝘁𝗼 𝗿𝗲𝘂𝘀𝗲 𝘆𝗼𝘂𝗿 𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝗺𝗲𝗻𝘁?

Without the X-ray wavelength, a 30° peak could be 2.98 Å or 1.37 Å.
The odds that a paper's data still existed fell 17% per year.

Figures as reported.

#MLSky #AIforScience #research

Chart titled The file keeps the numbers. The context stays behind. Three panels sit side by side. Wavelength: one XRD peak at 2θ = 30° labelled Cu Kα? and Mo Kα?, with the wavelength not in the file. Callout: 2.98 Å or 1.37 Å, since Cu Kα at 1.5406 Å gives 2.98 Å while Mo Kα at 0.7107 Å gives 1.37 Å. Scale: a sketch of round particles with one diameter marked 56 px = ? nm, with the pixel size not in the file. Callout: 10 to 28% of 580 life-science papers gave no scale information for their images. Survival: a sketch of two falling curves for data and email against article age, for 516 papers 2 to 22 years old. Callout: the odds the data still existed fell 17% per year; a working author email fell 7% per year. A dark bar lists what should travel with the file: bibliographic, specimen, instrument and image data. Footer: a model can only reuse what the file remembers.

@antifocal.bsky.social Sep 23, 2026, 1:25 PM

🔬 𝗜𝘀 𝗮 𝘀𝗲𝗹𝗳-𝗱𝗿𝗶𝘃𝗶𝗻𝗴 𝗹𝗮𝗯 𝗮 𝗹𝗮𝗯 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗽𝗲𝗼𝗽𝗹𝗲?

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.social Sep 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.social Sep 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.social Sep 21, 2026, 3:07 PM

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

Read the preprint:
arxiv.org/abs/2609.05450

#Retrosynthesis #AIforScience

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

HOW MANY GOOD IDEAS HAVE WE BURIED UNDER “TOO EXPENSIVE”?

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.social Sep 19, 2026, 2:39 AM

Scientists worldwide can now access Claude subscriptions for free or at discounted rates through the new Claude team plan. 🧪💻 #Science #Research #AIForScience

@martakoch.bsky.social Sep 11, 2026, 8:14 PM

🌍🌐🌦️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.social Sep 10, 2026, 5:58 PM

New preprint 🚨!
I’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.

📜: arxiv.org/abs/2609.08073
#AIForScience #ML4Phys

@thoefler.bsky.social Sep 9, 2026, 5:00 AM

Digital for Good: What if climate predictions could be generated 1,000× more efficiently and with 1,000× less CO₂?

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

@cairninstitute.bsky.social Sep 8, 2026, 10:14 PM

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

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

@epfl-ai-center.bsky.social Sep 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