Tootfinder

New simulations show how much colder European winters would get if AMOC collapses #Europe

New simulations show how much colder European winters would get if AMOC collapses
A pair of meteorologists in the Netherlands has used new simulations to show just how cold many of Europe's cities could get if the Atlantic Meridional Overturning Circulation (AMOC) were to collapse due to global warming. In their study, published in the journal Geophysical Research Letters, René van Westen and Michiel Baatsen developed a climate model based on a range of ocean temperature changes that could arise due to global warming.

Any of my Godot comrades here know if there's a way to get the "Animation Key and Pose Options" into the 3D scene and not just the 2D? I mainly just want that auto keying feature for my 3D scene.
#Godot

Yay, @… made it so :gitannex: #gitAnnex pushes the current branch first (not the git-annex or synced/* branches). This is awesome when you want to push-to-create a local repo to your @…

Merci ans Fotomuseum Winterthur fürs Vertrauen und die unterdessen 6 Millionen Views (12 Millionen Eyeballs)
https://www.blick.ch/digital/ki-video-mit-trump-deepfake-geht-viral-die-schweiz-existiert-nicht-id20846382.ht…

This is such a perfect analogy.
My goto is "asbestos". Super useful invention which bit us in the ass afterwards.
https://xoxo.zone/@annika/114614639082253074

Der gute Herr #Dobrindt hat heute bei den Zahlen der Rechts- bzw Linksextremisten ein wenig mit den Skalen in den Grafiken geschummelt. Warum wohl?

„Es geht nur um Rache“ - Psychiater sieht viele Parallelen zum Amokfahrer #News #Nachrichten

K-ADAPT-VQE: Optimizing Molecular Ground State Searches by Chunking Operators
Tatiana Bespalova, Oumaya Ladhari, Guido Masella
https://arxiv.org/abs/2506.09658

K-ADAPT-VQE: Optimizing Molecular Ground State Searches by Chunking Operators
Classical simulation of molecular systems is limited by exponential scaling, a hurdle quantum algorithms like Variational Quantum Eigensolvers (VQEs) aim to overcome. Although ADAPT-VQE enhances VQEs by dynamically building ansätze, it can remain computationally intensive. This work presents K-ADAPT-VQE, which improves efficiency by adding operators in chunks of K at each iteration. Our results from simulating small molecular systems show that K-ADAPT-VQE substantially reduces the total number…

GATE: Geometry-Aware Trained Encoding
Jakub Bok\v{s}ansk\'y, Daniel Meister, Carsten Benthin
https://arxiv.org/abs/2506.08161 https://

GATE: Geometry-Aware Trained Encoding
The encoding of input parameters is one of the fundamental building blocks of neural network algorithms. Its goal is to map the input data to a higher-dimensional space, typically supported by trained feature vectors. The mapping is crucial for the efficiency and approximation quality of neural networks. We propose a novel geometry-aware encoding called GATE that stores feature vectors on the surface of triangular meshes. Our encoding is suitable for neural rendering-related algorithms, for exa…

Immer schön ans Boosten denken. Retröten oder retooten geht auch. Oder Teilen. #IhrSeidDerAlgorithmus