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Veckans avsnitt av Hälsoveckan by Tyngre
Avsnittet om Andrew Huberman och tveksam vetenskapskommunikation
https://tyngre.se/podcast/halsoveckan-by-tyngre/avsnittet-om-andrew-huberman-och-tveksam-vetenskapskommun…

Avsnittet om Andrew Huberman och tveksam vetenskapskommunikation | Podcast
Jacob och Linnea diskuterar den enorma hälsoinfluenserna Andrew Huberman och allt kritik som har riktats mot honom de senaste månaderna.

Canalys Q4 2023 smartphone chip shipments: MediaTek rose 21% YoY to 117M, Apple rose 7% YoY to 78M, Qualcomm rose 1% YoY to 69M; Samsung dropped 48% YoY to 13M (Ben Schoon/9to5Google)
https://9to5google.com/2024/03/05/google-pixel-tensor-shipments-q4-2023/…

Google shipped slightly fewer Tensor-powered Pixels in Q4 as MediaTek dominated
In Q4 2023, Google Tensor, and in turn Google Pixel, shipments shrunk slightly as MediaTek and Apple continue to beat Qualcomm.

The Tensor Track VIII: Stochastic Analysis
V. Rivasseau
https://arxiv.org/abs/2403.03619 https://arxiv.org/pdf/2403.03619

The Tensor Track VIII: Stochastic Analysis
Assuming some familiarity with quantum field theory and with the tensor track approach that we presented in the previous series Tensor Track I-VII, we provide, as usual, the developments in tensors models of the last two years. Then we expose the fundamental breakthrough of Martin Hairer on regularity structures and the work of Léonard Ferdinand on stochastic analysis applied to super-renormalizable tensor field theories. We conclude with the hope that this work could be extended to just-renor…

🇬🇧 I just watched #TheHungerGames #TheBalladofSongbirdsAndSnakes and it was not a bad movie.
🇵🇱 Obejrzałem właśnie #TheHungerGames

Federated Learning Using Coupled Tensor Train Decomposition
Xiangtao Zhang, Eleftherios Kofidis, Ce Zhu, Le Zhang, Yipeng Liu
https://arxiv.org/abs/2403.02898

Federated Learning Using Coupled Tensor Train Decomposition
Coupled tensor decomposition (CTD) can extract joint features from multimodal data in various applications. It can be employed for federated learning networks with data confidentiality. Federated CTD achieves data privacy protection by sharing common features and keeping individual features. However, traditional CTD schemes based on canonical polyadic decomposition (CPD) may suffer from low computational efficiency and heavy communication costs. Inspired by the efficient tensor train decomposit…

This https://arxiv.org/abs/2202.07053 has been replaced.
link: https://scholar.google.com/scholar?q=a

Rank-one Boolean tensor factorization and the multilinear polytope
We consider the NP-hard problem of finding the closest rank-one binary tensor to a given binary tensor, which we refer to as the rank-one Boolean tensor factorization (BTF) problem. This optimization problem can be used to recover a planted rank-one tensor from noisy observations. We formulate rank-one BTF as the problem of minimizing a linear function over a highly structured multilinear set. Leveraging on our prior results regarding the facial structure of multilinear polytopes, we propose no…

Constructing Modular Tensor Categories with Hopf Algebras
Kun Zhou
https://arxiv.org/abs/2403.02643 https://arxiv.org/pdf/2403.02643<…

Constructing Modular Tensor Categories with Hopf Algebras
A modular tensor category is a non-degenerate ribbon finite tensor category. And a ribbon factorizable Hopf algebra is exactly the Hopf algebra whose finite-dimensional representations form a modular tensor category. The goal of this paper is to construct both semisimple and non-semisimple modular categories with Hopf algebras. In particular, we study central extensions of Hopf algebras and characterize some conditions for a quotient Hopf algebra to be a factorizable one. Then we give a special…

This https://arxiv.org/abs/2312.08339 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Non-relativistic nuclear reduction for tensor couplings in dark matter direct detection and $μ\to e$ conversion
The Nonrelativistic Effective Theory (NRET) is widely used in dark matter direct detection and charged-lepton flavor violation studies through $μ\to e$ conversion. However, existing literature has not fully considered tensor couplings. This study bridges this gap by utilizing an innovative tensor decomposition method, extending NRET to incorporate previously overlooked tensor interactions. We find additional operators in the $μ\to e$ conversion that are not present in the scalar and vector co…

Google unveils Pixel 8a with the Tensor G3 chip, a 6.1" 120Hz OLED with up to 2K nits brightness, and Gemini Nano access, shipping May 14 for $499 (Julian Chokkattu/Wired)
https://www.wired.com/story/google-pixel-8a/

Spain-based Multiverse Computing, which makes software to compress LLMs using "quantum-inspired tensor networks", raised a €25M Series A at a €100M valuation (Ingrid Lunden/TechCrunch)
https://techcrunch.com/2024/03/04/multiverse-computing/

Multiverse helped bank quants speed up their work; now it's targeting LLM leviathans | TechCrunch
We're still years away from seeing physical quantum computers break into the market with any scale and reliability, but don't give up on deep tech. The