Tootfinder

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

Varför forskningen kring sötningsmedel alltid verkar oklar | Podcast https://tyngre.se/podcast/tyngre-traningssnack/varfor-forskningen-kring-sotningsmedel-alltid-verkar-oklar

Varför forskningen kring sötningsmedel alltid verkar oklar | Podcast
Förra veckan var det dags för nya rubriker kring sötningsmedel

🤙 Sage iPhone for children review: ‘Would it make me want to divorce my parents?’
https://www.theguardian.com/technology/2025/jul/16/sage-iphone-for-children-review-teenagers-internet-safe-smartphone

Scalable inference of large-scale random kronecker graphs via tensor decomposition and Einstein summation
Sanaa Khobizy
https://arxiv.org/abs/2506.22292 ht…

Scalable inference of large-scale random kronecker graphs via tensor decomposition and Einstein summation
In this paper, we extend the analysis of random Kronecker graphs to multi-dimensional networks represented as tensors, enabling a more detailed and nuanced understanding of complex network structures. We decompose the adjacency tensor of such networks into two components: a low-rank signal tensor that captures the essential network structure and a zero-mean noise tensor that accounts for random variations. Building on recent advancements in tensor decomposition and random tensor theory, we intr…

Running back D.J. Moore? Bears 'tinkering' with using veteran WR out of backfield

https://www.cbssports.com/nfl/news/running-back-d-j-moore-bear…

Classification of $\Lambda \neq 0$-vacuum algebraically special spacetimes with conformally flat $\mathscr I$ from Weyl tensor expansion
Marc Mars, Carlos Pe\'on-Nieto
https://arxiv.org/abs/2507.21292

Classification of $Λ\neq 0$-vacuum algebraically special spacetimes with conformally flat $\mathscr I$ from Weyl tensor expansion
We introduce a general algebraic decomposition of Riemann-like and Weyl-like tensors with respect to a non-null vector $u$. We derive Gauss, Codazzi and Ricci-type identities for the Weyl tensor, that allow to relate the components of the spacetime Weyl tensor with intrinsic quantities of the hypersurfaces orthogonal to $u$. Restricting to the case of $Λ$-vacuum spacetimes (with $Λ\neq 0$ and any dimension) admiting a conformal compactification, we then study the behaviour of the Weyl tenso…

Why are Dutch kids the world’s happiest? A teenager weighs in.
https://www.cnn.com/2025/06/29/health/dutch-kids-happiest-essay-wellness

Why are Dutch kids the world’s happiest? A teenager weighs in
Freedom for kids to move through the world on their own may be the key to the Netherlands’ top spot in childhood happiness.

Visual Analytics Using Tensor Unified Linear Comparative Analysis
Naoki Okami, Kazuki Miyake, Naohisa Sakamoto, Jorji Nonaka, Takanori Fujiwara
https://arxiv.org/abs/2507.19988 …

Visual Analytics Using Tensor Unified Linear Comparative Analysis
Comparing tensors and identifying their (dis)similar structures is fundamental in understanding the underlying phenomena for complex data. Tensor decomposition methods help analysts extract tensors' essential characteristics and aid in visual analytics for tensors. In contrast to dimensionality reduction (DR) methods designed only for analyzing a matrix (i.e., second-order tensor), existing tensor decomposition methods do not support flexible comparative analysis. To address this analysis limit…

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…

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 …