Tootfinder

Housing, food and energy security are “more important now than ever with climate change,”
Haíɫzaqv Hereditary Chief λšλíya sila, Frank Brown, says. 
“Housing is a human right.
It’s imperative we make some progress around ensuring people have adequate housing and that it’s appropriate for the threats that are coming.”
https://

Heiltsuk Nation is building for the climate crisis | The Narwhal
The B.C. First Nation is building energy efficient, affordable homes grounded in culture

Shuffling for Semantic Secrecy
Fupei Chen, Liyao Xiang, Haoxiang Sun, Hei Victor Cheng, Kaiming Shen
https://arxiv.org/abs/2507.07401 https://

Shuffling for Semantic Secrecy
Deep learning draws heavily on the latest progress in semantic communications. The present paper aims to examine the security aspect of this cutting-edge technique from a novel shuffling perspective. Our goal is to improve upon the conventional secure coding scheme to strike a desirable tradeoff between transmission rate and leakage rate. To be more specific, for a wiretap channel, we seek to maximize the transmission rate while minimizing the semantic error probability under the given leakage …

#GiftLink
Opinion | The trade war is coming for your morning cup of coffee - The Washington Post
https://wapo.st/3HjonHK

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives
Haoxiang Luo, Yu Yan, Yanhui Bian, Wenjiao Feng, Ruichen Zhang, Yinqiu Liu, Jiacheng Wang, Gang Sun, Dusit Niyato, Hongfang Yu, Abbas Jamalipour, Shiwen Mao
https://arxiv.org/abs/2509.09193

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives
Artificial Intelligence (AI) techniques play a pivotal role in optimizing wireless communication networks. However, traditional deep learning approaches often act as closed boxes, lacking the structured reasoning abilities needed to tackle complex, multi-step decision problems. This survey provides a comprehensive review and outlook of reasoning-enabled AI in wireless communication networks, with a focus on Large Language Models (LLMs) and other advanced reasoning paradigms. In particular, LLM-…

You know what was released on the #InternetArchive yesterday?
Johannes Grenzfurthner‘s documentary movie “Hacking at Leaves” about US history and the racism that built it, the Navajo Nation, hackerspaces and hacker culture, COVID-19, and much more.
It’s now free to watch, share, and talk about!

Deep Learning Based Dynamic Environment Reconstruction for Vehicular ISAC Scenarios
Junzhe Song, Ruisi He, Mi Yang, Zhengyu Zhang, Bingcheng Liu, Jiahui Han, Haoxiang Zhang, Bo Ai
https://arxiv.org/abs/2508.05226

Deep Learning Based Dynamic Environment Reconstruction for Vehicular ISAC Scenarios
Integrated Sensing and Communication (ISAC) technology plays a critical role in future intelligent transportation systems, by enabling vehicles to perceive and reconstruct the surrounding environment through reuse of wireless signals, thereby reducing or even eliminating the need for additional sensors such as LiDAR or radar. However, existing ISAC based reconstruction methods often lack the ability to track dynamic scenes with sufficient accuracy and temporal consistency, limiting the real wor…

Waymo applied for a NYC permit to test its cars with safety drivers and plans to start collecting mapping data with manually driven cars in Manhattan in July (Andrew J. Hawkins/The Verge)
https://www.theverge.com/news/689093/waymo-nyc-permit…

Waymo’s robotaxis are coming back to New York City
Waymo applied for a permit to test autonomous vehicles with safety drivers in New York City. And it hopes it can change the state law to allow it to operate fully driverless.

CHIMERA: Compressed Hybrid Intelligence for Twin-Model Enhanced Multi-Agent Deep Reinforcement Learning for Multi-Functional RIS-Assisted Space-Air-Ground Integrated Networks
Li-Hsiang Shen, Jyun-Jhe Huang
https://arxiv.org/abs/2507.16204

CHIMERA: Compressed Hybrid Intelligence for Twin-Model Enhanced Multi-Agent Deep Reinforcement Learning for Multi-Functional RIS-Assisted Space-Air-Ground Integrated Networks
A space-air-ground integrated network (SAGIN) architecture is proposed, empowered by multi-functional reconfigurable intelligent surfaces (MF-RIS) capable of simultaneously reflecting, amplifying, and harvesting wireless energy. The MF-RIS plays a pivotal role in addressing the energy shortages of low-Earth orbit (LEO) satellites operating in shadowed regions, while explicitly accounting for both communication and computing energy consumption across the SAGIN nodes. To maximize the long-term en…

Criticality-Based Dynamic Topology Optimization for Enhancing Aerial-Marine Swarm Resilience
Ruiyang Huang, Haocheng Wang, Yixuan Shen, Ning Gao, Qiang Ni, Shi Jin, Yifan Wu
https://arxiv.org/abs/2508.00688

Criticality-Based Dynamic Topology Optimization for Enhancing Aerial-Marine Swarm Resilience
Heterogeneous marine-aerial swarm networks encounter substantial difficulties due to targeted communication disruptions and structural weaknesses in adversarial environments. This paper proposes a two-step framework to strengthen the network's resilience. Specifically, our framework combines the node prioritization based on criticality with multi-objective topology optimization. First, we design a three-layer architecture to represent structural, communication, and task dependencies of the swar…