Tootfinder

Google unveils the Tensor G5, a 3nm chip manufactured by TSMC, says it has "significant gains" in performance and runs the "newest" Gemini Nano model (Abner Li/9to5Google)
https://9to5google.com/2025/08/20/pixel-10-tensor-g5/

Google did more than just switch to TSMC for Tensor G5 — This is what’s new
The Pixel 10 and 10 Pro are powered by Tensor G5 for Google’s biggest upgrade to its custom silicon effort...

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:
http…

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

Identification and Estimation of Multi-order Tensor Factor Models
Zetai Cen
https://arxiv.org/abs/2508.13418 https://arxiv.org/pdf/2508.13418

Identification and Estimation of Multi-order Tensor Factor Models
We propose a novel framework in high-dimensional factor models to simultaneously analyze multiple tensor time series, each with potentially different tensor orders and dimensionality. The connection between different tensor time series is through their global factors that are correlated to each other. A salient feature of our model is that when all tensor time series have the same order, it can be regarded as an extension of multilevel factor models from vectors to general tensors. Under very m…

On definability of C*-tensor norms
Isaac Goldbring, Thomas Sinclair
https://arxiv.org/abs/2509.15086 https://arxiv.org/pdf/2509.15086

On definability of C*-tensor norms
We initiate the study of definability (in the model-theoretic sense) of C*-tensor norms. We show that neither the minimal nor maximal tensor norms are definable uniformly over all C*-algebras. The proof in the case of the minimal tensor product norm uses a deep theorem of Kirchberg characterizing exactness in terms of tensor products with matrix ultraproducts while the case of maximal tensor products uses Pisier's recent characterization of the lifting property in terms of maximal tensor produc…

One, Two, Three: One empirical evaluation of a two-copy shadow tomography scheme with triple efficiency
Viet T. Tran, Richard Kueng
https://arxiv.org/abs/2508.11744 https://

One, Two, Three: One empirical evaluation of a two-copy shadow tomography scheme with triple efficiency
Shadow tomography protocols have recently emerged as powerful tools for efficient quantum state learning, aiming to reconstruct expectation values of observables with fewer resources than traditional quantum state tomography. For the particular case of estimating Pauli observables, entangling two-copy measurement schemes can offer an exponential improvement in sample complexity over any single-copy strategy conceivable [1, Huang, Kueng, Preskill, PRL(2021)]. A recent refinement of these ideas b…

Sanctions strike at Putin's fleet — 500 tankers on the "blacklist: https://benborges.xyz/2025/07/19/sanctions-strike-at-putins-fleet.html

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…

Towards universal property prediction in Cartesian space: TACE is all you need
Zemin Xu, Wenbo Xie, Daiqian Xie, P. Hu
https://arxiv.org/abs/2509.14961 https://

Towards universal property prediction in Cartesian space: TACE is all you need
Machine learning has revolutionized atomistic simulations and materials science, yet current approaches often depend on spherical-harmonic representations. Here we introduce the Tensor Atomic Cluster Expansion and Tensor Moment Potential, the first unified framework formulated entirely in Cartesian space for the systematic prediction of arbitrary structure-determined tensorial properties. TACE achieves this by decomposing atomic environments into a complete hierarchy of (irreducible) Cartesian …

Holography for stress-energy tensor flows
Xi-Yang Ran, Feng Hao, Hao Ouyang
https://arxiv.org/abs/2508.12275 https://arxiv.org/pdf/2508.12275

Holography for stress-energy tensor flows
We study the holographic description for general stress-energy tensor deformations in arbitrary dimensions using the metric flow approach. Mixed boundary conditions corresponding to these deformations emerge from solutions to the metric flow equations. To test this proposal, we analyze planar AdS black holes with such boundary conditions and find that the deformed energies satisfy flow equations consistent with the field theory interpretation. We further derive the commuting condition for stres…

Google unveils $130 Pixel Buds 2A with a Tensor A1 chip, Gemini features, seven hours of battery life with ANC, and a replaceable battery, available October 9 (Victoria Song/The Verge)
https://www.theverge.com/hands-on/760852/g

Google’s Pixel Buds 2A add Gemini, noise cancellation, and a replaceable battery
The $129.99 Pixel Buds 2a are a bit more expensive, but add active noise cancellation, a Tensor A1 chip, Gemini access, and replaceable batteries.