Tootfinder

The European Space Agency (ESA) successfully established a transmission-reception optical link with NASA’s Deep Space Optical Communications (DSOC) experiment onboard its #Psyche mission, located 265 million kilometres away, using two optical grounds stations developed for this purpose in Greece: https://www.esa.int/Enabling_Support/Operations/Europe_s_first_deep-space_optical_communication_link

Elephants gesture with an intention to communicate their desires, study finds
https://phys.org/news/2025-07-elephants-gesture-intention-communicate-desires.html

Pro-Hamas Protester Vandalizes State House, MIT and Now They Mention the IEDs on Boston Commons (Beege Welborn/HotAir)
https://hotair.com/tree-hugging-sister/2025/08/12/pro-hamas-protester-vandalizes-state-house-mit-and-now-they-mention-the-ieds-on-boston-commons-n3805754
http://www.memeorandum.com/250812/p135#a250812p135

First Evidence of Potential Language-Like Communication in Dolphins: Study #AnimalRights

First Evidence of Potential Language-Like Communication in Dolphins: Study
Scientists with the Woods Hole Oceanographic Institution and partners have identified possible language-like communication among dolphins.

Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey
Yang Lu, Shengli Zhang, Chang Liu, Ruichen Zhang, Bo Ai, Dusit Niyato, Wei Ni, Xianbin Wang, Abbas Jamalipour
https://arxiv.org/abs/2508.08620

Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey
The rapid advancement of communication technologies has driven the evolution of communication networks towards both high-dimensional resource utilization and multifunctional integration. This evolving complexity poses significant challenges in designing communication networks to satisfy the growing quality-of-service and time sensitivity of mobile applications in dynamic environments. Graph neural networks (GNNs) have emerged as fundamental deep learning (DL) models for complex communication ne…

GmSLM : Generative Marmoset Spoken Language Modeling
Talia Sternberg, Michael London, David Omer, Yossi Adi
https://arxiv.org/abs/2509.09198 https://arxiv.…

GmSLM : Generative Marmoset Spoken Language Modeling
Marmoset monkeys exhibit complex vocal communication, challenging the view that nonhuman primates vocal communication is entirely innate, and show similar features of human speech, such as vocal labeling of others and turn-taking. Studying their vocal communication offers a unique opportunity to link it with brain activity-especially given the difficulty of accessing the human brain in speech and language research. Since Marmosets communicate primarily through vocalizations, applying standard L…

Multi Robot Coordination in Highly Dynamic Environments: Tackling Asymmetric Obstacles and Limited Communication
Vincenzo Suriani, Daniele Affinita, Domenico D. Bloisi, Daniele Nardi
https://arxiv.org/abs/2509.08859

Multi Robot Coordination in Highly Dynamic Environments: Tackling Asymmetric Obstacles and Limited Communication
Coordinating a fully distributed multi-agent system (MAS) can be challenging when the communication channel has very limited capabilities in terms of sending rate and packet payload. When the MAS has to deal with active obstacles in a highly partially observable environment, the communication channel acquires considerable relevance. In this paper, we present an approach to deal with task assignments in extremely active scenarios, where tasks need to be frequently reallocated among the agents pa…

“If ‘state capitalism’ were proposed by Democrats or progressives, it would be considered socialism or communism. Done by a neofascist president — as chronicled by the The Wall Street Journal — it’s simply considered inefficient (as the Journal concludes).” - @…

Trump’s “State Capitalism”
It would be communism under any other dictator

MoRoCo: Multi-operator-robot Coordination, Interaction and Exploration under Restricted Communication
Zhuoli Tian, Yuyang Zhang, Jinsheng Wei, Meng Guo
https://arxiv.org/abs/2508.07657

MoRoCo: Multi-operator-robot Coordination, Interaction and Exploration under Restricted Communication
Fleets of autonomous robots are increasingly deployed alongside multiple human operators to explore unknown environments, identify salient features, and perform complex tasks in scenarios such as subterranean exploration, reconnaissance, and search-and-rescue missions. In these contexts, communication is often severely limited to short-range exchanges via ad-hoc networks, posing challenges to coordination. While recent studies have addressed multi-robot exploration under communication constrain…