Tootfinder

Error chaining in JavaScript: cleaner debugging with Error.cause
Error handling in JavaScript has always felt a bit chaotic. Throwing errors is easy, but tracing them back to the root cause? Not so much. That’s where the cause property comes in.
🧑‍💻 https://all…

Error chaining in JavaScript: cleaner debugging with Error.cause - Matt Smith
Use JavaScript's 'cause' property to chain errors, preserve context, and simplify debugging. Cleaner stack traces, better test assertions.

AI Is Decoding Whales’ Communications. Could That Be a Turning Point in the Push for Their Rights? https://insideclimatenews.org/news/29102025/ai-sperm-whale-communications-legal-rights/
I love this idea that understanding the communication…

AI Is Decoding Whales’ Communications. Could That Be a Turning Point in the Push for Their Rights? - Inside Climate News
The Cetacean Translation Initiative (CETI) is using artificial intelligence to help understand sperm whale communications. Lawyers think the discoveries could galvanize the world to recognize whales’ legal rights.

#CransMontana : chronologie de l’événement et bilan provisoire https://www.policevalais.ch/communiques-pour-les-medias/crans-…

An Efficient, Reliable and Observable Collective Communication Library in Large-scale GPU Training Clusters
Ziteng Chen (Infrawaves), Xiaohe Hu (Infrawaves), Menghao Zhang (Beihang University), Yanmin Jia (Infrawaves), Yan Zhang (Infrawaves), Mingjun Zhang (Infrawaves), Da Liu (Infrawaves), Fangzheng Jiao (Beihang University), Jun Chen (Infrawaves), He Liu (Infrawaves), Aohan Zeng (Tsinghua University), Shuaixing Duan (Zhipu AI), Ruya Gu (Infrawaves), Yang Jing (Infrawaves), Bowen Han …

An Efficient, Reliable and Observable Collective Communication Library in Large-scale GPU Training Clusters
Large-scale LLM training requires collective communication libraries to exchange data among distributed GPUs. As a company dedicated to building and operating large-scale GPU training clusters, we encounter several challenges when using NCCL in production, including 1) limited efficiency with costly and cumbersome P2P communication, 2) poor tolerance to frequent RNIC port failures, and 3) insufficient observability of transient collective communication anomalies. To address these issues, we pro…

A Robust Proactive Communication Strategy for Distributed Active Noise Control Systems
Junwei Ji, Dongyuan Shi, Zhengding Luo, Boxiang Wang, Ziyi Yang, Haowen Li, Woon-Seng Gan
https://arxiv.org/abs/2510.00934

A Robust Proactive Communication Strategy for Distributed Active Noise Control Systems
Distributed multichannel active noise control (DMCANC) systems assign the high computational load of conventional centralized algorithms across multiple processing nodes, leveraging inter-node communication to collaboratively suppress unwanted noise. However, communication overhead can undermine algorithmic stability and degrade overall performance. To address this challenge, we propose a robust communication framework that integrates adaptive-fixed-filter switching and the mixed-gradient combi…

OTFS for Joint Radar and Communication: Algorithms, Prototypes, and Experiments
Xiaojuan Zhang, Yonghong Zeng, Francois Chin Po Shin
https://arxiv.org/abs/2510.00668 https://

OTFS for Joint Radar and Communication: Algorithms, Prototypes, and Experiments
We propose an Joint Radar and Communication (JRC) system that utilizes the Orthogonal Time Frequency Space (OTFS) signals. The system features a fast radar sensing algorithm for detecting target range and speed by using the OTFS communication signals, and a self-interference cancellation for enhanced multi-target separation. In addition to target detection, we propose methods for monitoring human vital signs, such as breathing rate and heartbeat. Furthermore, we explore two approaches for disti…

Assembling GW231123 in Star Clusters through the Combination of Stellar Binary Evolution and Hierarchical Mergers: #BlackHole mergers: https://www.gssi.it/communication/news-events/item/26044-gssi-astrophysicists-reveal-the-role-of-star-clusters-in-black-hole-mergers

#CransMontana : chronologie de l’événement et bilan provisoire https://www.policevalais.ch/communiques-pour-les-medias/crans-…

#CransMontana : chronologie de l’événement et bilan provisoire https://www.policevalais.ch/communiques-pour-les-medias/crans-…

Quantum reservoir computing using Jaynes-Cummings model
Sreetama Das, Gian Luca Giorgi, Roberta Zambrini
https://arxiv.org/abs/2510.00171 https://arxiv.org…

Quantum reservoir computing using Jaynes-Cummings model
We investigate quantum reservoir computing (QRC) using a hybrid qubit-boson system described by the Jaynes-Cummings (JC) Hamiltonian and its dispersive limit (DJC). These models provide high-dimensional Hilbert spaces and intrinsic nonlinear dynamics, making them powerful substrates for temporal information processing. We systematically benchmark both reservoirs through linear and nonlinear memory tasks, demonstrating that they exhibit an unusual superior nonlinear over linear memory capacity. …