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Universal Coacting Hopf algebra of a Finite dimensional Lie-Yamaguti algebra
Saikat Goswami, Satyendra Kumar Mishra, Goutam Mukherjee
https://arxiv.org/abs/2506.01328

Universal Coacting Hopf algebra of a Finite dimensional Lie-Yamaguti algebra
M. E. Sweedler first constructed a universal Hopf algebra of an algebra. It is known that the dual notions to the existing ones play a dominant role in Hopf algebra theory. Yu. I. Manin and D. Tambara introduced the dual notion of Sweedler's construction in separate works. In this paper, we construct a universal algebra for a finite-dimensional Lie-Yamaguti algebra. We demonstrate that this universal algebra possesses a bialgebra structure, leading to a universal coacting Hopf algebra for a fin…

Huge anisotropic magneto-thermal switching in high-purity polycrystalline compensated metals
Poonam Rani, Yuto Watanabe, Takuma Shiga, Yuya Sakuraba, Hikaru Takeda, Minoru Yamashita, Ken-ichi Uchida, Aichi Yamashita, Yoshikazu Mizuguchi
https://arxiv.org/abs/2506.00427

Huge anisotropic magneto-thermal switching in high-purity polycrystalline compensated metals
Magneto-thermal transport is a promising physical property for thermal management applications. Magneto-thermal switching enables active control of heat flows, and a high switching ratio is desirable for improving performance. Here, we report on the observation of a huge magneto-thermal switching (MTS) effect in high-purity (5N) Pb polycrystalline wires, where magnetic fields perpendicular to the heat current direction are applied at low temperatures. At T = 3 K and B = 0.1 T, the measured ther…

AidAI: Automated Incident Diagnosis for AI Workloads in the Cloud
Yitao Yang, Yangtao Deng, Yifan Xiong, Baochun Li, Hong Xu, Peng Cheng
https://arxiv.org/abs/2506.01481

AidAI: Automated Incident Diagnosis for AI Workloads in the Cloud
AI workloads experience frequent incidents due to intensive hardware utilization and extended training times. The current incident management workflow is provider-centric, where customers report incidents and place the entire troubleshooting responsibility on the infrastructure provider. However, the inherent knowledge gap between customer and provider significantly impacts incident resolution efficiency. In AI infrastructure, incidents may take several days on average to mitigate, resulting in…

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software
Satoshi Tanaka, Samrat Thapa, Kok Seang Tan, Amadeusz Szymko, Lobos Kenzo, Koji Minoda, Shintaro Tomie, Kotaro Uetake, Guolong Zhang, Isamu Yamashita, Takamasa Horibe
https://arxiv.org/abs/2506.00645

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software
In recent years, machine learning technologies have played an important role in robotics, particularly in the development of autonomous robots and self-driving vehicles. As the industry matures, robotics frameworks like ROS 2 have been developed and provides a broad range of applications from research to production. In this work, we introduce AWML, a framework designed to support MLOps for robotics. AWML provides a machine learning infrastructure for autonomous driving, supporting not only the …

Dynamical dark energy in the no-scale Brans-Dicke gravity
Muzi Hong, Kyohei Mukaida, Tsutomu T. Yanagida
https://arxiv.org/abs/2506.01543 https://

Dynamical dark energy in the no-scale Brans-Dicke gravity
We add a new scalar field in the no-scale Brans-Dicke gravity and require it to have a global O(2) symmetry with the original scalar field in the Brans-Dicke gravity. This gives us a new massless scalar field in the Einstein frame due to the SO(2) symmetry. We then explicitly break the O(2) symmetry to a $D_4$ symmetry, and this scalar field gains a periodic potential. This scalar field can serve as the quintessence field to explain dark energy. If we further add the $R^2$ term and the non-mini…

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