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

I senaste avsnittet av Hälsoveckan by Tyngre går jag och Erik igenom några av de vanligaste kommentarerna som dök upp från killar som äter carnivor under ett inlägg jag delade på facebook om rött kött.
Än så länge är det 600 kommentarer där 😅
https://tyngre.se/podcast/halsovecka…

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 $\…

TrendForce: global foundry revenue surged 14.6% QoQ to $41.7B in Q2, with TSMC securing a 70% market share, followed by Samsung with 7% and SMIC with 5% (Luke James/Tom's Hardware)
https://www.tomshardware.com/tech-industry/tsmc-revenues-hit-r…

TSMC’s foundry dominance hits new heights as global revenues smash records — 14.6% QoQ jump sees growth for Samsung, but TSMC's market share climbs to 70.2%
China's SMIC also takes a 1.7% hit.

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…

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 …

Jag och Erik går igenom forskning som kommit under sommaren relaterat till fetmamediciner. Både nya studier på redan godkända mediciner och avslutade fas 2 och fas 3 studier för mediciner som troligen kommer till marknaden inom kort.
En uppdatering kring nya fetmamediciner | Podcast https://

Transfer entropy and O-information to detect grokking in tensor network multi-class classification problems
Domenico Pomarico, Roberto Cilli, Alfonso Monaco, Loredana Bellantuono, Marianna La Rocca, Tommaso Maggipinto, Giuseppe Magnifico, Marlis Ontivero Ortega, Ester Pantaleo, Sabina Tangaro, Sebastiano Stramaglia, Roberto Bellotti, Nicola Amoroso
https://

Transfer entropy and O-information to detect grokking in tensor network multi-class classification problems
Quantum-enhanced machine learning, encompassing both quantum algorithms and quantum-inspired classical methods such as tensor networks, offers promising tools for extracting structure from complex, high-dimensional data. In this work, we study the training dynamics of Matrix Product State (MPS) classifiers applied to three-class problems, using both fashion MNIST and hyper-spectral satellite imagery as representative datasets. We investigate the phenomenon of grokking, where generalization emer…