Lmst

Its nice to encouraging stories like this - and exciting.

Over a pint in Oxford, we may have stumbled upon the holy grail of agriculture
https://www.theguardian.com/commentisfree/2025/dec/05/agriculture-revolution-soil-farming-earth-rover-program?CMP=Share_AndroidApp_Other

#SustainableFarming #AppliedScience #ecosystems #soil #SoilStructure

A Five-Year Milestone - Reflections On Advances And Limitations In GeoAI Research
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https://www.acsu.buffalo.edu/~yhu42/papers/2024_AnnalsofGIS_GeoAI.pdf <-- shared 2024 paper
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https://doi.org/10.1016/j.jag.2025.104368 <-- shared 2025 paper
--
[GeoAI has changed markedly since this 1st paper was written, but there is still much value in what it states]
#GIS #spatial #mapping #AI #spatialanalysis #GeoAI #theory #perspectives #Giscience #geography #advances #limitations #model #modeling #spatiallyexplicit #realworld #usecase #application #problemsolving #AAG #research #appliedscience #generalizability
@AAG

The Myth And Reality Of ‘Physics-Based’ Models In Geosciences
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https://geoaiunpacked.substack.com/p/the-myth-and-reality-of-physics-based <-- shared technical article
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“Across hydrology, fire, weather, and climate science, models are often described as physics-based—a phrase that evokes rigor, transparency, and trust. Yet, beneath the surface, much of what drives these models are empirical relationships and parameterizations rather than direct solutions of physical laws. These assumptions are necessary to make the equations computable, but they also introduce biases, tuning artifacts, and uncertainties that can propagate through every layer of simulation.
This doesn’t mean physics-based models are flawed or obsolete; rather, it highlights the complexity of modeling natural systems…”
#GeoAI #datadriven #physicsbased #model #modeling #usecase #appliedscience #accuracy #appropriateness #simulation #naturalsystems #hybrid #physicalrealism #hydrology #fire #weather #climate

cooking in #elab #cccfr
something* something*
"süppchen is fertig ..."

#appliedscience #diy

Now I get it. Couldn’t figure out why the current White House occupant and company are so desperate to kneecap scientific research. Good explanation. #repression #science #autocracy #basicscience #appliedscience #research https://www.nytimes.com/2025/08/31/science/trump-science-autocrats.html?unlocked_article_code=1.iU8.FVsN.4GHPs6N0Wtq2&smid=nytcore-ios-share&referringSource=articleShare

[Ben Krasnow] #AppliedScience idly opening an entire field of dual-material-printing PLA-CF gears with TPU skin

https://www.youtube.com/watch?v=EuVgGrun1V0

[Ben Krasnow] demonstrating "smoothing" gear motion by adding a thin sheet of latex between an annular gear and pinion.

Trans-Oceanic Distributed Sensing Of Tides Over Telecommunication Cable Between Portugal & Brazil
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https://lnkd.in/gBPpBchx <-- shared paper
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[not something I know much about technically - so what better reason to read a paper!? What a fascinating & clever repurposing idea]
#GIS #spatial #mapping #geophysics #geophysical #remotesensing #model #modeling #spatialanalysis #spatiotemporal #cable #transoceanic #cable #tide #waves #tsunami #earlywarning #repurposing #usecase #appliedscience #appliedtechnology #fibreoptic #microwave #modulation #submarine #telecom #telecommunications #sensor #realtime #monitoring #measurememnt #marine #ocean #temperature #tidal #climate #climatechange #naturalhazards #risk #hazard #currents #circulation #infrastructure

🧪 Now we’re talking – Episode 5:
Meet the gel permeation chromatograph! This machine helps us understand how big (or small) molecules really are 🧬 — and plays a key role in basic research at Hof University of Applied Sciences.

🔗 https://t1p.de/dz3ut

#dieforschendehochschulehof #hierwirdknallhartgeforscht #ScienceMastodon #LabTalk #MolecularScience #Chromatography #ResearchTools #AppliedScience

Picture of GPC and Johannes Küfner with short informations about the machine. The machine is supervised at the Institute for Circular Economy of Bio:Polymers (ibp) by Johannes Küfner and Benedikt Hiller, both research assistants, David Krieg, deputy research group leader and Lucas Großmann, deputy head of the institute.

Wanna use computer vision for more than image rendering?

Pre-print alert: we published on arxiv our preprint on building FEA-compatible voxel-based RGB+Thermal 3D models, effectively bridging computer vision and simulation in one framework (https://arxiv.org/abs/2504.04448).

While there is still some limitations to this work (e.g. related to surface reconstruction) I hope this work can be the catalyst to more research in using computer vision in #AppliedScience !

👩‍🔬 Thanks to all the co-authors: Etienne Chassaing, Florent Forest, and Olga Fink.

See some teaser images from the paper, where we run FEA on a 3D model built from computer vision without post-processing!

#computervision #fea #simulation #voxel #thermal #sustainability