Tootfinder

The fact that an autocratic, corrupt and in some ways fascist republican administration only leads to a relatively small lead of the democrats in the polls, is food for thought. People in the US are farther removed from European and democratic values than ever it seems.
https://www.

Who Is Favored to Win the House? Latest 2026 Congressional Ballot Polls
Track the latest Congressional ballot surveys that ask who Americans plan to vote for in the 2026 midterm election.

How an N.F.L.-Backed Plan to Revitalize Canton, Ohio, Faltered https://www.nytimes.com/2026/08/08/business/nfl-canton-hall-of-fame-village.html

NITRO: High-Performance 3D NAND Flash-Based In-Storage Computing with Enhanced Activation Dataflow
Sanghun Shin, Sangyeon Kim, Gisan Ji, Sungju Ryu
https://arxiv.org/abs/2608.11920 https://arxiv.org/pdf/2608.11920 https://arxiv.org/html/2608.11920
arXiv:2608.11920v1 Announce Type: new
Abstract: In-storage computing (ISC) is considered a next-generation memory architecture for its ability to relieve the data bottleneck between the host and the memory. While the required resources of large language models (LLMs) have increased significantly in recent years, the memory density has not scaled accordingly. Recently, several works have studied NAND flash-based processing-in-memory (NAND-PIM) schemes to exploit the high density of the memory. However, they do not address the dataflow/buffer for the intermediate values, so a simple method is to deal with the values in the slow flash memory array. To overcome such a limitation, we propose a high-performance NAND flash-based ISC architecture with enhanced activation buffering. Instead of using the very slow flash memory array for the intermediate values, our architecture buffers the values in a fast DRAM subsystem. This approach effectively handles the high-latency penalties when activations are programmed into slower TLC NAND flash. We also introduce a distributed dataflow approach for the NAND-PIM array. This approach maximizes computational parallelism by employing efficient intra-plane data mapping. The results show that our proposed architecture achieves significant performance improvements, reducing the inference latency by up to 85% compared to the baseline.
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Le trafic est perturbé de Melun vers Montereau via Héricy. Veuillez prévoir des modifications du plan de transport ainsi que des allongements de temps de trajet de 20 minutes environs. Pour plus d'informations sur cette perturbation, consultez le fil X de la ligne R.
Motif : malaise voyageurŠ Chartrettes.
🤖 05/09 20:17

"Seit seinem Amtsantritt vor dreieinhalb Jahren regiert Rösti bevorzugt per Verordnung – an Parlament und Stimm­volk vorbei.
Ob beim präventiven Wolfsabschuss, bei der Einschränkung von Tempo 30 oder der Senkung der SRG-Gebühren auf 300 Franken: Rösti nutzt die Spielräume der Exekutivmacht konsequent aus. Mit dem Bundesamt für Justiz liegt er deshalb seit langem im Dauer­clinch."
Ähnlichkeiten zu amtierenden Präsidenten sind rein zufällig.

Molecular gas hidden in plain sight in the early Universe
Pasquier Noterdaeme, Jens-Kristian Krogager, Sergei Balashev
https://arxiv.org/abs/2607.18974 https://arxiv.org/pdf/2607.18974 https://arxiv.org/html/2607.18974
arXiv:2607.18974v1 Announce Type: new
Abstract: We report the discovery of an extreme intervening molecular absorber at zabs = 4.1 towards the z = 4.7 quasar SDSS J080023.02 305101.22 revealed through strong H2 absorption that had remained unnoticed in archival data for about two decades. The system, which we analysed with new VLT/X-shooter observations, has a metallicity of about one-fifth the solar value, in line with the moderate dust reddening AV~0.06 mag. More strikingly, it exhibits the highest molecular fraction, fH2 = 2N(H2)/(2N(H2) N(HI))~=60%, measured at z>0 from direct determinations of both atomic and molecular hydrogen column densities. Notably, this fraction is comparable to the very highest values in the Local Group. The inferred fH2 still represents a conservative lower limit to the local molecular fraction since the H i absorption very likely includes atomic gas unrelated to the actual molecular component, as indicated by the wide (Delta v~500 km/s) multi-component low-ionisation metal profile.
The detection of such a system at early cosmic times is remarkable given the limited number of quasar spectra probing z>4. It suggests an unexpectedly high incidence of H2, with important implications for the evolution of molecular gas. This high incidence may be driven by high average densities and enhanced turbulence at those redshifts. At the same time, our results also highlight possible observational biases, both in quasar selection and in recognising strong H2 absorption, suggesting that a significant fraction of molecular gas may remain undetected, in particular near the peak of star formation. The present system offers a unique benchmark for developing efficient detection algorithms. Further progress will benefit from colour-independent quasar surveys, while constraining the physical conditions and environments of such extreme absorbers will require observations on future extremely large telescopes.
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Koopman-Operator Spectral Decomposition for Nonlinear Motion Suppression in Dynamic Contrast-Enhanced MRI of the Head and Neck
Renjie He
https://arxiv.org/abs/2607.19401 https://arxiv.org/pdf/2607.19401 https://arxiv.org/html/2607.19401
arXiv:2607.19401v1 Announce Type: new
Abstract: We build a motion suppression pipeline based on Koopman operator theory, which provides a way to turn nonlinear dynamics into linear ones by looking at the data through the right set of mathematical "lenses" (called observables). We test three versions of this idea: plain DMD that works directly on pixel values, an extended version (EDMD) that adds physically motivated features like squared intensities and spatial gradients to better capture how the MRI signal and tissue motion interact, and a neural network version that tries to learn the best features automatically. A key practical contribution is time-course repetition: we tile the entire temporal series multiple times before decomposition, which does not change the underlying dynamics but gives the algorithm more data to work with, fixing a dimensionality bottleneck that otherwise prevents the extra features from helping. The full pipeline works slice by slice, dividing each image into small overlapping blocks, applying the Koopman lifting and DMD to separate slow contrast enhancement from fast motion based on their characteristic frequencies, and blending the corrected blocks back together.
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