Tootfinder

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-…

Blodsockerkontroll och långsiktig hälsa – vad vet vi idag? | Artikel
Att ha kontroll på blodsockret är något som har diskuterats flitigt under lång tid. I en artikelserie på tre delar tar Jacob Gudiol oss med till vad forskningen

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…

Report: Google's move from Samsung to TSMC for the Tensor G5 chip in the upcoming Pixel 10 series was a "shock" and a wake-up call for Samsung's foundry efforts (Ben Schoon/9to5Google)
https://9to5google.com/2025/06/18/google-tsm…

Report: Google’s switch to TSMC for Pixel 10 chip was a ‘shock’ and wake-up call for Samsung
According to a report, Google's shift to TSMC for the Pixel 10's Tensor G5 chip was a "shock" to Samsung and is serving as a wake-up call.

Minimizing Communication for Parallel Symmetric Tensor Times Same Vector Computation
Hussam Al Daas (STFC, Scientific Computing Department, Rutherford Appleton Laboratory, Didcot, UK), Grey Ballard (Wake Forest University, Computer Science Department, Winston-Salem, NC, USA), Laura Grigori (EPFL, Institute of Mathematics, Lausanne, Switzerland,PSI, Center for Scientific Computing, Theory,Data, Villigen, Switzerland), Suraj Kumar (Institut national de recherche en sciences et technologi…

Minimizing Communication for Parallel Symmetric Tensor Times Same Vector Computation
In this article, we focus on the parallel communication cost of multiplying the same vector along two modes of a $3$-dimensional symmetric tensor. This is a key computation in the higher-order power method for determining eigenpairs of a $3$-dimensional symmetric tensor and in gradient-based methods for computing a symmetric CP decomposition. We establish communication lower bounds that determine how much data movement is required to perform the specified computation in parallel. The core idea …

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…

Tensor product modules over the planar Galilean conformal algebra from free modules of rank one
Jin Cheng, Dongfang Gao, Ziting Zeng
https://arxiv.org/abs/2506.14893

Tensor product modules over the planar Galilean conformal algebra from free modules of rank one
In this paper, we investigate the irreducible tensor product modules over the planar Galilean conformal algebra $\mathcal{G}$ named by Aizawa, which is the infinite-dimensional Galilean conformal algebra introduced by Bagchi-Gopakumar in $(2+1)$ dimensional space-time. We give the necessary and sufficient conditions for the tensor product modules of any two of $\mathcal{U}(\mathfrak{h})$-free modules of rank one over $\mathcal{G}$ to be irreducible, where $\mathfrak{h}$ is the Cartan subalgebra…

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

Varför vi vet väldigt lite om människors fysiska aktivitet | Podcast https://tyngre.se/podcast/tyngre-traningssnack/varfor-vi-vet-valdigt-lite-om-manniskors-fysiska-aktivitet

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