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@dawid@social.craftknight.com
2026-03-29 10:37:32

Gdyby istniało narzędzie, które potrafi wystawiać `./functions` tak jak netflify/vercel/cloudeflare - to mój problem by był rozwiązany z ostatniego dnia.

Ba - mogła by to być realny prosty sposób selfhostowania stron statycznych z prostym backendem. Kolejne ba - nic co budowałem, by nie było potrzebne - platforma która wprowadza "serverless" architekturę na właśnie self hosting.

Mamy repo ze statyczną stroną - taki Astro/Hugo/Gatsby, coktolubi i w folderze ./functions po…

For nearly a decade, the Pentagon was warned
—by its own contractors, analysts, and intelligence agencies
—that anyone with a credit card could buy a map of where American troops sleep, work, and store nuclear weapons.
Now the bill has come due in a war zone.
A newly disclosed letter shows the warnings went unheeded:
US Central Command now confirms it has received “multiple threat reports concerning adversary exploitation of commercial location data to target or su…

@arXiv_qbioNC_bot@mastoxiv.page
2026-04-29 07:52:32

A geometry aware framework enhances noninvasive mapping of whole human brain dynamics
Song Wang, Kexin Lou, Chen Wei, Zhiyuan Sheng, Jiahao Tang, Kaining Peng, Xinke Shen, Shuhao Mei, Liang Chen, Dongfeng Gu, Quanying Liu
arxiv.org/abs/2604.25592 arxiv.org/pdf/2604.25592 arxiv.org/html/2604.25592
arXiv:2604.25592v1 Announce Type: new
Abstract: Non-invasive electrophysiology lacks methods that accurately reconstruct whole-brain spatiotemporal dynamics while incorporating individual cortical geometry, leaving current electroencephalography and magnetoencephalography source imaging limited by simplistic or biologically implausible priors. Here, we show that embedding participant-specific Geometric Basis Functions (GBFs), eigenmodes derived from each individual's cortical surface, provides a powerful anatomic constraint that resolves the inverse problem and improves reconstruction fidelity. The method reconstructs neural sources as linear combinations of geometric basis functions, thereby aligning source estimates with the geometric organization of neural dynamics. We validate GBF across the Meta-Source Benchmark, task-evoked data, resting-state networks, intracranial stimulation, and epilepsy data. The results demonstrate that GBF yields high localization accuracy and captures fast spatiotemporal dynamics consistent with anatomical pathways. These findings suggest that both spontaneous and evoked whole-brain activity can be described by hundreds of geometric modes, providing a compact yet accurate representation of neural sources. By linking cortical geometry to electrophysiological dynamics, GBF offers a versatile source imaging tool for both scientific and clinical applications.
toXiv_bot_toot

@denis@det.social
2026-03-27 14:27:38

Perfekt zum Wochenende. Gechilltes Neues von Melbourne's Finest, Courtney Barnett ❤️
youtu.be/rPgaP3SJZKU

@Speckdaene@nrw.social
2026-03-23 12:54:33

Wer wissen möchte, wo der atomgetriebene französische Flugzeugträger Charles de Gaulle und die Begleitflottille rumschwabbelt, kann mal bei #Strava kucken. Ja zum Zweiten. Link dänisch. social.data.coop/@cryptohagen/

@roelgrif@mstdn.social
2026-03-22 15:22:23

Zo wordt je gemanipuleerd als stas.
Nou ja, ze liet zich natuurlijk ook manipuleren …
trouw.nl/binnenland/hoe-haar-e

@arXiv_physicschemph_bot@mastoxiv.page
2026-03-27 08:44:42

Enabling ab initio geometry optimization of strongly correlated systems with transferable deep quantum Monte Carlo
P. Bern\'at Szab\'o, Zeno Sch\"atzle, Frank No\'e
arxiv.org/abs/2603.25381 arxiv.org/pdf/2603.25381 arxiv.org/html/2603.25381
arXiv:2603.25381v1 Announce Type: new
Abstract: A faithful description of chemical processes requires exploring extended regions of the molecular potential energy surface (PES), which remains challenging for strongly correlated systems. Transferable deep-learning variational Monte Carlo (VMC) offers a promising route by efficiently solving the electronic Schr\"odinger equation jointly across molecular geometries at consistently high accuracy, yet its stochastic nature renders direct exploration of molecular configuration space nontrivial. Here, we present a framework for highly accurate ab initio exploration of PESs that combines transferable deep-learning VMC with a cost-effective estimation of energies, forces, and Hessians. By continuously sampling nuclear configurations during VMC optimization of electronic wave functions, we obtain transferable descriptions that achieve zero-shot chemical accuracy within chemically relevant distributions of molecular geometries. Throughout the subsequent characterization of molecular configuration space, the PES is evaluated only sparsely, with local approximations constructed by estimating VMC energies and forces at sampled geometries and aggregating the resulting noisy data using Gaussian process regression. Our method enables accurate and efficient exploration of complex PES landscapes, including structure relaxation, transition-state searches, and minimum-energy pathways, for both ground and excited states. This opens the door to studying bond breaking, formation, and large structural rearrangements in systems with pronounced multi-reference character.
toXiv_bot_toot

@denis@det.social
2026-03-27 14:27:38

Perfekt zum Wochenende. Gechilltes Neues von Melbourne's Finest, Courtney Barnett ❤️
youtu.be/rPgaP3SJZKU

@Techmeme@techhub.social
2026-04-08 15:10:56

Alibaba and China Telecom launch a data center in southern China that is powered by 10,000 of Alibaba's Zhenwu chips designed for AI training and inferencing (Arjun Kharpal/CNBC)
cnbc.com/2026/04/08/china-alib

@roelgrif@mstdn.social
2026-03-18 16:00:46

NIVEL weekrapportage week 11.
De griepepidemie is voorbij. We kunnen de balans opmaken en zien dat we, ondanks de opkomst van H3N2, toch een minder heftige epidemie hebben gehad dan een jaar geleden.
Volgens NIVEL is er ook sprake van een kortere epidemie, maar dat is m.i. een beetje appels en peren vergelijken, omdat ze de epidemie nu over verklaren o.b.v. een andere indicator dan vorig jaar. Aan onderstaand plaatje kun je dat i.i.g. niet zien.

Uitgelicht: Duidelijk minder mensen met acute luchtweginfecties, jaarlijkse griepepidemie voorbij
Wat valt op in week 11:

Het aantal mensen dat bij de huisarts komt met een acute luchtweginfectie (ARI) is in week 11 verder gedaald ten opzichte van de week ervoor. Het aantal mensen dat met een ARI naar de huisarts gaat ligt voor de tweede week op rij onder de grenswaarde van 291 per 100.000 inwoners, de waarde die als verhoogde ARI activiteit wordt beschouwd.
In neus- en keelwatjes die huisarts…