Tootfinder

Been working on n-dimensional sampling/filtering functions for https://thi.ng/tensors and created an interactive Desmos graph to illustrate 1D Lanczos filtering/interpolation:

1D/2D/3D/4D tensors with extensible polymorphic operations and customizable storage

Tensor-Tensor Products, Group Representations, and Semidefinite Programming
Alex Dunbar, Elizabeth Newman
https://arxiv.org/abs/2507.12729 https://

Tensor-Tensor Products, Group Representations, and Semidefinite Programming
The $\star_M$-family of tensor-tensor products is a framework which generalizes many properties from linear algebra to third order tensors. Here, we investigate positive semidefiniteness and semidefinite programming under the $\star_M$-product. Critical to our investigation is a connection between the choice of matrix M in the $\star_M$-product and the representation theory of an underlying group action. Using this framework, third order tensors equipped with the $\star_M$-product are a natural…

Fossile Energien verursachen hohe gesellschaftliche Kosten, werden aber weiterhin subventioniert.
Allein 2021 beliefen sich offene und versteckte #Subventionen laut #IWF auf 5900 Milliarden US-Dollar. Maßnahmen wie der

Tankrabatt: Wie wir uns zu Tode subventionieren
Die Verbrennung fossiler Brennstoffe richtet massive Schäden an. Dennoch wird sie gefördert – etwa durch den Tankrabatt. Dabei gäbe es sinnvolle Alternativen, von denen auch Geringverdiener profitieren.

Tensor Manipulation Unit (TMU): Reconfigurable, Near-Memory Tensor Manipulation for High-Throughput AI SoC
Weiyu Zhou, Zheng Wang, Chao Chen, Yike Li, Yongkui Yang, Zhuoyu Wu, Anupam Chattopadhyay
https://arxiv.org/abs/2506.14364

Tensor Manipulation Unit (TMU): Reconfigurable, Near-Memory Tensor Manipulation for High-Throughput AI SoC
While recent advances in AI SoC design have focused heavily on accelerating tensor computation, the equally critical task of tensor manipulation, centered on high,volume data movement with minimal computation, remains underexplored. This work addresses that gap by introducing the Tensor Manipulation Unit (TMU), a reconfigurable, near-memory hardware block designed to efficiently execute data-movement-intensive operators. TMU manipulates long datastreams in a memory-to-memory fashion using a RIS…

Hur påverkas träningseffekten från gymmet av en fylla? | Artikel https://tyngre.se/artiklar/forskning/hur-paverkas-traningseffekten-fran-gymmet-av-en-fylla

Explicit construction of the energy-momentum tensor in the large N limit
Carlo Pagani, Hidenori Sonoda
https://arxiv.org/abs/2508.11506 https://arxiv.org/p…

Explicit construction of the energy-momentum tensor in the large N limit
We construct the energy-momentum tensor of the O(N) linear sigma model explicitly in the large N limit. Our guiding principles behind the construction are twofold: first the energy-momentum tensor must satisfy the Ward identity for translation and rotation invariance, and second the energy-momentum tensor must have proper cutoff dependence as a composite operator. We verify that the energy-momentum tensor thus constructed satisfies the expected trace formula, and that the trace vanishes at the …

The large $N$ factorization does not hold for arbitrary multi-trace observables in random tensors
Razvan Gurau, Felix Joos, Benjamin Sudakov
https://arxiv.org/abs/2506.15362

The large $N$ factorization does not hold for arbitrary multi-trace observables in random tensors
We consider real tensors of order $D$, that is $D$-dimensional arrays of real numbers $T_{a^1a^2 \dots a^D}$, where each index $a^c$ can take $N$ values. The tensor entries $T_{a^1a^2 \dots a^D}$ have no symmetry properties under permutations of the indices. The invariant polynomials built out of the tensor entries are called trace invariants. We prove that for a Gaussian random tensor with $D\ge 3$ indices (that is such that the entries $T_{a^1a^2 \dots a^D}$ are independent identically dist…

Studier på kött är bara positiva när industrin sponsrar dem
https://tyngre.se/podcast/halsoveckan-by-tyngre/studier-pa-kott-ar-bara-positiva-nar-industrin-sponsrar-dem

Studier på kött är bara positiva när industrin sponsrar dem | Podcast
Hur påverkar sponsorn forskningsresultaten om rött kött? I veckans avsnitt djupdyker vi i en NY Times-artikel om industrins påverkan på nutritionstudier – och i

A Nonparallel Support Tensor Machine for Binary Classification based Large Margin Distribution and Iterative Optimization
Zhuolin Du, Yisheng Song
https://arxiv.org/abs/2507.13012

A Nonparallel Support Tensor Machine for Binary Classification based Large Margin Distribution and Iterative Optimization
Based on the tensor-based large margin distribution and the nonparallel support tensor machine, we establish a novel classifier for binary classification problem in this paper, termed the Large Margin Distribution based NonParallel Support Tensor Machine (LDM-NPSTM). The proposed classifier has the following advantages: First, it utilizes tensor data as training samples, which helps to comprehensively preserve the inherent structural information of high-dimensional data, thereby improving class…

Läser du det här och del 2 så kan du sen lätt sortera bort över 50 procent av all skräpinfluencers inom hälsa där ute 👍
Blodsockerkontroll och långsiktig hälsa – vad vet vi idag? https://tyngre.se/artiklar/forskning/blodsockerkontroll-och-langsik…