Tootfinder

The ngscopeclient team is excited to announce our first official release, version 0.1, after many years of development.
This release includes contributions from 77 people across the globe and supports instruments from 23 vendors, running on all major operating systems.
https://www.ngscopec…

Have expertise with functional programming, interpreters, and Web technology? Like Rust, wasm, etc.? Looking for a job with a great team? Please see this job ad, and share with others you might know!
https://zoo.dev/jobs/4619187005?gh_src&gh_jid=4619187005

Zoo: Software Engineer, Language Development
A remote position now hiring at Zoo

Invariant Features for Global Crop Type Classification
Xin-Yi Tong, Sherrie Wang
https://arxiv.org/abs/2509.03497 https://arxiv.org/pdf/2509.03497

Invariant Features for Global Crop Type Classification
Accurately obtaining crop type and its spatial distribution at a global scale is critical for food security, agricultural policy-making, and sustainable development. Remote sensing offers an efficient solution for large-scale crop classification, but the limited availability of reliable ground samples in many regions constrains applicability across geographic areas. To address performance declines under geospatial shifts, this study identifies remote sensing features that are invariant to geogr…

Guyana brings solar power to Indigenous village, part of larger plan to prioritize Amerindian communities in national development. #climatechange #climatesolutions #climate

Guyana commissions solar grid for Indigenous village
A remote village in western Guyana is set to benefit from round the clock power following the commissioning of a solar grid with a combined capacity of 217.4 kW.

CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Leonard Hackel, Tom Burgert, Beg\"um Demir
https://arxiv.org/abs/2509.14104 https://…

CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Self-supervised learning through masked autoencoders has attracted great attention for remote sensing (RS) foundation model (FM) development, enabling improved representation learning across diverse sensors and downstream tasks. However, existing RS FMs often either suffer from substantial computational complexity during both training and inference or exhibit limited representational capacity. These issues restrict their practical applicability in RS. To address this limitation, we propose an a…

i reminded myself of an acronym i learned from a book i bought over 30 years ago
there was an amazing amount of _pnambic_ AI going on in the years before the launch of ChatGPT
i wonder how much of it still exists
eg i know there are two people employed as remote-operator drivers per google “driverless” car

Multi-AAV-enabled Distributed Beamforming in Low-Altitude Wireless Networking for AoI-Sensitive IoT Data Forwarding
Zifan Lang, Guixia Liu, Jiahui Li, Geng Sun, Zemin Sun, Jiacheng Wang, Dusit Niyato, Victor C. M. Leung
https://arxiv.org/abs/2509.01427

Multi-AAV-enabled Distributed Beamforming in Low-Altitude Wireless Networking for AoI-Sensitive IoT Data Forwarding
With the rapid development of low-altitude wireless networking, autonomous aerial vehicles (AAVs) have emerged as critical enablers for timely and reliable data delivery, particularly in remote or underserved areas. In this context, the age of information (AoI) has emerged as a critical performance metric for evaluating the freshness and timeliness of transmitted information in Internet of things (IoT) networks. However, conventional AAV-assisted data transmission is fundamentally limited by fi…

Minimizing Task-Oriented Age of Information for Remote Monitoring with Pre-Identification
Shuying Gan, Xijun Wang, Chao Xu, Xiang Chen
https://arxiv.org/abs/2508.14575 https://

Minimizing Task-Oriented Age of Information for Remote Monitoring with Pre-Identification
The emergence of new intelligent applications has fostered the development of a task-oriented communication paradigm, where a comprehensive, universal, and practical metric is crucial for unleashing the potential of this paradigm. To this end, we introduce an innovative metric, the Task-oriented Age of Information (TAoI), to measure whether the content of information is relevant to the system task, thereby assisting the system in efficiently completing designated tasks. We apply TAoI to a wirel…

Evaluation of High-Resolution Gridded Precipitation Datasets Against a Dense Rain Gauge Network During the Indian Summer Monsoon
Ajay Bankar, Praveenkumar Venkatesan, Rakesh V, Gaurav Chopra, R I Sujith
https://arxiv.org/abs/2509.20778

Evaluation of High-Resolution Gridded Precipitation Datasets Against a Dense Rain Gauge Network During the Indian Summer Monsoon
Advancements in remote sensing have led to development of several satellite-derived precipitation products; however, their accuracy must be evaluated before use in scientific and operational studies. This study comprehensively assesses six widely used datasets PERSIANN CCS, CHIRPS, MSWEP, IMERG, AgERA5, and GSMaP ISRO against a dense rain gauge network across Karnataka, a southern Indian state characterized by diverse climatic conditions and complex topography. The analysis focuses on the India…