Tootfinder

Three-year Program in Logic and Debate. The Art of Reasoning in the Nālandā Tradition https://networks.h-net.org/group/announcements/20122261/three-year-program-logic-and-debate-art-reasoning-nalanda-tradition…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Wilhelm Kienzl, Benjamin Butterfield, Peter Neelands, The Canadian Children's Opera Chorus, Canadian Opera Company Orchestra & Richard Bradshaw:
🎵 Selig sind, die Verfolgung leiden (from Act 2 of 'Der Evangelimann')

Large Language Model-Empowered Channel Prediction and Predictive Beamforming for LEO Satellite Communications
Zhixiong Chen, Hyundong Shin, Arumugam Nallanathan, Jonathon Chambers
https://arxiv.org/abs/2510.10561

Large Language Model-Empowered Channel Prediction and Predictive Beamforming for LEO Satellite Communications
Accurate channel prediction and effective beamforming are essential for low Earth orbit (LEO) satellite communications to enhance system capacity and enable high-speed connectivity. Most existing channel prediction and predictive beamforming methods are limited by model generalization capabilities and struggle to adapt to time-varying wireless propagation environments. Inspired by the remarkable generalization and reasoning capabilities of large language models (LLMs), this work proposes an LLM…

Efficient LLM Inference over Heterogeneous Edge Networks with Speculative Decoding
Bingjie Zhu, Zhixiong Chen, Liqiang Zhao, Hyundong Shin, Arumugam Nallanathan
https://arxiv.org/abs/2510.11331

Efficient LLM Inference over Heterogeneous Edge Networks with Speculative Decoding
Large language model (LLM) inference at the network edge is a promising serving paradigm that leverages distributed edge resources to run inference near users and enhance privacy. Existing edge-based LLM inference systems typically adopt autoregressive decoding (AD), which only generates one token per forward pass. This iterative process, compounded by the limited computational resources of edge nodes, results in high serving latency and constrains the system's ability to support multiple users…

5G Core Fault Detection and Root Cause Analysis using Machine Learning and Generative AI
Joseph H. R. Isaac, Harish Saradagam, Nallamothu Pardhasaradhi
https://arxiv.org/abs/2508.09152

5G Core Fault Detection and Root Cause Analysis using Machine Learning and Generative AI
With the advent of 5G networks and technologies, ensuring the integrity and performance of packet core traffic is paramount. During network analysis, test files such as Packet Capture (PCAP) files and log files will contain errors if present in the system that must be resolved for better overall network performance, such as connectivity strength and handover quality. Current methods require numerous person-hours to sort out testing results and find the faults. This paper presents a novel AI/ML-…

Damn, do I want this job! https://nlnet.nl/foundation/jobs/assessor.html

13 Cowboys seniors nominated for Pro Football Hall of Fame Class of 2026 https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/09/12/cowboys-seniors-pro-football-hall-of-fame-nominees-2026/8610474200…

Inside the Stagnation Radius of the Nearest Billion-Solar-Mass Black Hole
J. M. Wrobel, D. W. Pesce, K. E. Nyland
https://arxiv.org/abs/2508.07042 https://…

Inside the Stagnation Radius of the Nearest Billion-Solar-Mass Black Hole
We used the NSF Jansky Very Large Array at a frequency $ν=$ 22\,GHz to study the nearest billion-solar-mass black hole, in the early-type galaxy NGC\,3115 at a distance of 9.7\,Mpc. We localize a faint continuum nucleus, with flux density $S_{\rm 22\,GHz} = 48.2\pm6.4\,μ$Jy, to a FWHM diameter $d_{\rm 22\,GHz} <$ 59\,mas (2.8\,pc). We find no evidence for adjacent emission within a stagnation region of radius $R_{\rm sta} \sim$ 360\,mas (17\,pc) identified in a recent hydrodynamic simulation …

Pinching-Antenna Systems (PASS): A Tutorial
Yuanwei Liu, Hao Jiang, Xiaoxia Xu, Zhaolin Wang, Jia Guo, Chongjun Ouyang, Xidong Mu, Zhiguo Ding, Arumugam Nallanathan, George K. Karagiannidis, Robert Schober
https://arxiv.org/abs/2508.07572

Pinching-Antenna Systems (PASS): A Tutorial
Pinching antenna systems (PASS) present a breakthrough among the flexible-antenna technologies, and distinguish themselves by facilitating large-scale antenna reconfiguration, line-of-sight creation, scalable implementation, and near-field benefits, thus bringing wireless communications from the last mile to the last meter. A comprehensive tutorial is presented in this paper. First, the fundamentals of PASS are discussed, including PASS signal models, hardware models, power radiation models, an…

Pinching-Antenna Systems (PASS)-based Indoor Positioning
Yaoyu Zhang, Xin Sun, Jun Wang, Tianwei Hou, Anna Li, Yuanwei Liu, Arumugam Nallanathan
https://arxiv.org/abs/2508.08185

Pinching-Antenna Systems (PASS)-based Indoor Positioning
Pinching antenna (PA), a flexible waveguide integrated with dielectric particles, intelligently reconstructs line-of-sight channels. Utilizing its geometric deterministic model and meter-level reconstruction, PA systems (PASS) are applied to uplink indoor positioning. In this paper, the uplink positioning system model for PASS is firstly proposed. A PASS-based received signal strength indication (RSSI) method is proposed to measure the distance from the users to each PA, which is efficient and …