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Oil tanker damaged by blast weeks after visiting Russian ports, Bloomberg reports: https://benborges.xyz/2025/06/30/oil-tanker-damaged-by-blast.html

Linear Layouts: Robust Code Generation of Efficient Tensor Computation Using $\mathbb{F}_2$
Keren Zhou, Mario Lezcano, Adam Goucher, Akhmed Rakhmati, Jeff Niu, Justin Lebar, Pawel Szczerbuk, Peter Bell, Phil Tillet, Thomas Raoux, Zahi Moudallal
https://arxiv.org/abs/2505.23819

Linear Layouts: Robust Code Generation of Efficient Tensor Computation Using $\mathbb{F}_2$
Efficient tensor computation is a cornerstone of modern deep learning (DL) workloads, yet existing approaches struggle to achieve flexible and performant design and implementation of tensor layouts -- mappings between logical tensors and hardware resources. The increasing complexity of DL algorithms and hardware demands a generic and systematic approach to handling tensor layouts. In this work, we introduce Linear Layouts, a novel approach that models tensor layouts using linear algebra over $\…

Reducing Complexity of Shadow Process Tomography with Generalized Measurements
Haigang Wang, Kan He
https://arxiv.org/abs/2506.23806 https://

Reducing Complexity of Shadow Process Tomography with Generalized Measurements
Quantum process tomography (QPT) is crucial for advancing quantum technologies, including quantum computers, quantum networks and quantum sensors. Shadow process tomography (SPT) utilizes the Choi isomorphism to map QPT to shadow state tomography (SST), significantly reducing the sample complexity for extracting information from quantum processes. However, SPT relies on random unitary operators and complicates the determination of the optimal unitary operator that minimizes the shadow norm, whi…

Senaste avsnittet av Tyngre Träningssnack
Det senaste kring motstånd mot trötthet inom konditionsidrott | Podcast https://tyngre.se/podcast/tyngre-traningssnack/det-senaste-kring-motstand-mot-trotthet-inom-konditionsidro…

"Wo ist der nächste HNO-Arzt?" #Touché

Latent Factorization of Tensors with Threshold Distance Weighted Loss for Traffic Data Estimation
Lei Yang
https://arxiv.org/abs/2506.22441 https://…

Latent Factorization of Tensors with Threshold Distance Weighted Loss for Traffic Data Estimation
Intelligent transportation systems (ITS) rely heavily on complete and high-quality spatiotemporal traffic data to achieve optimal performance. Nevertheless, in real-word traffic data collection processes, issues such as communication failures and sensor malfunctions often lead to incomplete or corrupted datasets, thereby posing significant challenges to the advancement of ITS. Among various methods for imputing missing spatiotemporal traffic data, the latent factorization of tensors (LFT) model…

Uncertain Mode Surfaces in 3D Symmetric Second-Order Tensor Field Ensembles
Tim Gerrits
https://arxiv.org/abs/2506.23406 https://arxi…

Uncertain Mode Surfaces in 3D Symmetric Second-Order Tensor Field Ensembles
The analysis of 3D symmetric second-order tensor fields often relies on topological features such as degenerate tensor lines, neutral surfaces, and their generalization to mode surfaces, which reveal important structural insights into the data. However, uncertainty in such fields is typically visualized using derived scalar attributes or tensor glyph representations, which often fail to capture the global behavior. Recent advances have introduced uncertain topological features for tensor field …

Efficient Tensor Decomposition via Moment Matrix Extension
Bobby Shi, Julia Lindberg, Joe Kileel
https://arxiv.org/abs/2506.22564 https://

Efficient Tensor Decomposition via Moment Matrix Extension
Motivated by a flurry of recent work on efficient tensor decomposition algorithms, we show that the celebrated moment matrix extension algorithm of Brachat, Comon, Mourrain, and Tsigaridas for symmetric tensor canonical polyadic (CP) decomposition can be made efficient under the right conditions. We first show that the crucial property determining the complexity of the algorithm is the regularity of a target decomposition. This allows us to reduce the complexity of the vanilla algorithm, while …

A New Tensor Norm That Preserves Unconditional Bases in Banach Spaces
Rafik Karkri, Samir Kabbaj
https://arxiv.org/abs/2506.22522 https://

A New Tensor Norm That Preserves Unconditional Bases in Banach Spaces
Let $α$ be a tensor norm on the class of all algebaic tensor products of Banach spaces $E\otimes F$. We say that $α$ preserves unconditionality if the completion $E\otimes_α F$ admits an unconditional basis for every pair of Banach spaces $E$ and $F$ that have unconditional bases. It is well known that none of Grothendieck's 14 tensor norms satisfies this unconditionality condition. Moreover, the exsistence of a tensor norm $α$ preserving unconditionality remains an open question. In this p…

SVT har just nu en "dokumentär" skapad av en bokförfattare där han gör reklam för sakerna han påstod i sin bok 🤷‍♂️ Jag har precis börjat titta på den och halvvägs in följer den, som väntat, precis samma mönster som alla andra kostdokumentärer som påstår sig komma med något revolutionerande.
En dissektion av alla kostdokumentärer!