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On Variations in GB Grid Electricity CO2 Intensity: Samples - CO2 per grid kWh by h/d/m/y. - https://www.earth.org.uk/note-on-UK-grid-CO2-intensity-variations.html

On Variations in GB Grid Electricity CO2 Intensity: Samples
CO2 per grid kWh by h/d/m/y.

heise | Gehälter 2025: Das verdienen Mitarbeiter im IT-Support in Deutschland
Der IT-Support hilft bei technischen Fragen. Ihr Gehalt gehört oft nicht zur Spitzengruppe in der IT, aber der Job kann als Sprungbrett für die Karriere dienen.

Revisiting Active Learning under (Human) Label Variation
Cornelia Gruber, Helen Alber, Bernd Bischl, G\"oran Kauermann, Barbara Plank, Matthias A{\ss}enmacher
https://arxiv.org/abs/2507.02593

Revisiting Active Learning under (Human) Label Variation
Access to high-quality labeled data remains a limiting factor in applied supervised learning. While label variation (LV), i.e., differing labels for the same instance, is common, especially in natural language processing, annotation frameworks often still rest on the assumption of a single ground truth. This overlooks human label variation (HLV), the occurrence of plausible differences in annotations, as an informative signal. Similarly, active learning (AL), a popular approach to optimizing th…

Tekort aan drinkwater dreigt, beloofde voorraden komen niet van de grond | #Trouw
https://www.trouw.nl/duurzaamheid-economie

Unrolling Nonconvex Graph Total Variation for Image Denoising
Songlin Wei, Gene Cheung, Fei Chen, Ivan Selesnick
https://arxiv.org/abs/2506.02381 https://

Unrolling Nonconvex Graph Total Variation for Image Denoising
Conventional model-based image denoising optimizations employ convex regularization terms, such as total variation (TV) that convexifies the $\ell_0$-norm to promote sparse signal representation. Instead, we propose a new non-convex total variation term in a graph setting (NC-GTV), such that when combined with an $\ell_2$-norm fidelity term for denoising, leads to a convex objective with no extraneous local minima. We define NC-GTV using a new graph variant of the Huber function, interpretable …

BVQC: A Backdoor-style Watermarking Scheme for Variational Quantum Circuits
Cheng Chu, Lei Jiang, Fan Chen
https://arxiv.org/abs/2508.01893 https://arxiv.o…

BVQC: A Backdoor-style Watermarking Scheme for Variational Quantum Circuits
Variational Quantum Circuits (VQCs) have emerged as a powerful quantum computing paradigm, demonstrating a scaling advantage for problems intractable for classical computation. As VQCs require substantial resources and specialized expertise for their design, they represent significant intellectual properties (IPs). However, existing quantum circuit watermarking techniques suffer from two primary drawbacks: (1) watermarks can be removed during re-compilation of the circuits, and (2) these method…

Variational Neural Network Approach to QFT in the Field Basis
Kevin Braga, Nobuo Sato, Adam P. Szczepaniak
https://arxiv.org/abs/2508.00173 https://arxiv.o…

Variational Neural Network Approach to QFT in the Field Basis
We present a variational neural network approach for solving quantum field theories in the field basis, focusing on the free Klein-Gordon model formulated in momentum space. While recent studies have explored neural-network-based variational methods for scalar field theory in position space, a systematic benchmark of the analytically solvable Klein-Gordon ground state -- particularly in the momentum-space field basis -- has been lacking. In this work, we represent the ground-state wavefunctiona…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Pale Saints:
🎵 A Thousand Stars Burst Open
#PaleSaints
https://palesaints.bandcamp.com/track/a-thousand-stars-burst-open-tintwistle-brass-band-version
https://open.spotify.com/track/3YwLEv6ga0hYCaWXgdELav

On Variations in GB Grid Electricity CO2 Intensity: Samples - CO2 per grid kWh by h/d/m/y. - https://www.earth.org.uk/note-on-UK-grid-CO2-intensity-variations.html

On Variations in GB Grid Electricity CO2 Intensity: Samples
CO2 per grid kWh by h/d/m/y.

Designing lattice proteins with variational quantum algorithms
Hanna Linn, Lucas Knuthson, Anders Irb\"ack, Sandipan Mohanty, Laura Garc\'ia-\'Alvarez, G\"oran Johansson
https://arxiv.org/abs/2508.02369

Designing lattice proteins with variational quantum algorithms
Quantum heuristics have shown promise in solving various optimization problems, including lattice protein folding. Equally relevant is the inverse problem, protein design, where one seeks sequences that fold to a given target structure. The latter problem is often split into two steps: (i) searching for sequences that minimize the energy in the target structure, and (ii) testing whether the generated sequences fold to the desired structure. Here, we investigate the utility of variational quantu…