Tootfinder

Wireless AI Evolution: From Statistical Learners to Electromagnetic-Guided Foundation Models
Jian Xiao, Ji Wang, Kunrui Cao, Xingwang Li, Zhao Chen, Chau Yuen
https://arxiv.org/abs/2507.00366

Wireless AI Evolution: From Statistical Learners to Electromagnetic-Guided Foundation Models
While initial applications of artificial intelligence (AI) in wireless communications over the past decade have demonstrated considerable potential using specialized models for targeted communication tasks, the revolutionary demands of sixth-generation (6G) networks for holographic communications, ubiquitous sensing, and native intelligence are propelling a necessary evolution towards AI-native wireless networks. The arrival of large AI models paves the way for the next phase of Wireless AI, dr…

This https://arxiv.org/abs/2412.12485 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Rydberg Atomic Receiver: Next Frontier of Wireless Communications
Rydberg Atomic REceiver (RARE) is driving a paradigm shift in electromagnetic (EM) wave measurement by harnessing the electron transition phenomenon of Rydberg atoms. Operating at the quantum scale, such receivers have the potential to breakthrough the performance limit of classic receivers, sparking a revolution in physical-layer wireless communications. The objective of this paper is to offer insights into RARE-empowered communications. We first provide a comprehensive introduction to the fun…

A bit of context that might be needed for this story about a 2010 website, is that prior to 2011 https wasn't widely used outside of e-commerce. The release of Firesheep in October 2010 led to a push for site authentication to go over https, and the 2013 Snowden revelations shifted the web towards encrypt all transmission.
https…

The CIA Secretly Ran a Star Wars Fan Site
The site, starwarsweb.net, was a covert CIA communications tool. It has pictures of Yoda and C-3PO on it.

Nature: Cortical circuits for cross-modal generalization (in mice) https://www.nature.com/articles/s41467-025-59342-9 "Optogenetic sensory substitution and systematic silencing of these associative areas revealed that a single area in the dorsal stream is necessary an…

Cortical circuits for cross-modal generalization - Nature Communications
Neural mechanisms underlying cross-modal generalization of learned sensorimotor associations are not fully understood. Here authors show that mice use a specialized cortical circuit to generalize learned behaviors between vision and touch. A single region in the dorsal cortex is essential for forming abstract spatial representations that enable cross-modal flexibility.

Online Fair Division for Personalized $2$-Value Instances
Georgios Amanatidis, Alexandros Lolos, Evangelos Markakis, Victor Turmel
https://arxiv.org/abs/2505.22174

Online Fair Division for Personalized $2$-Value Instances
We study an online fair division setting, where goods arrive one at a time and there is a fixed set of $n$ agents, each of whom has an additive valuation function over the goods. Once a good appears, the value each agent has for it is revealed and it must be allocated immediately and irrevocably to one of the agents. It is known that without any assumptions about the values being severely restricted or coming from a distribution, very strong impossibility results hold in this setting. To bypass…

This https://arxiv.org/abs/2504.05877 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Threshold-less and Flexibly Tunable Frequency Comb via Floquet Engineering
Frequency combs have revolutionized communication, metrology and spectroscopy. Numerous efforts have been dedicated to developing integrated combs, predominantly relying on Pockels or Kerr mechanisms. In this work, we propose and demonstrate a new type of frequency comb-Floquet cavity frequency comb-that does not rely on intrinsic material non-linearity. By periodically modulating the resonance frequency of a cavity, a Floquet cavity with multiple equally spaced frequency components is created.…

Cost Effective Designs For Next-Generation Radio Telescopes
G B Raghavkrishna, Deeptangshu Banik, B Ravi Kumar, D Veeraswamy
https://arxiv.org/abs/2506.22398

Cost Effective Designs For Next-Generation Radio Telescopes
Radio astronomy has entered its golden era, with many revolutionary facilities such as SKA, ngVLA, and LOFAR2.0 coming online in the next decade. These facilities are certain to redefine radio astronomy. However, on smaller scales-such as at institutional or amateur levels-radio astronomy is still mostly practiced for educational or personal interest. The primary reason small-scale radio astronomical experiments rarely produce cutting-edge scientific results is the limitation of funding availab…

Stumbling around uncharted regulatory structures: NAcrins, or the perspective of specialized sources of modulatory non-coding RNAs
Marouane Benzaki
https://arxiv.org/abs/2506.17322

Stumbling around uncharted regulatory structures: NAcrins, or the perspective of specialized sources of modulatory non-coding RNAs
The revelation of the supreme authority of nucleic acids in the cellular landscape has precipitated the recognition of the versatility of RNAs in cells. The subsequent discovery of non-coding RNAs was a major breakthrough that revealed their extensive involvement in virtually all physiological processes within the cell. Beyond the barriers of the cell, the current perception seems to support the idea of their participation in intercellular regulation and cross-kingdom communication. However, th…

On using AI for EEG-based BCI applications: problems, current challenges and future trends
Thomas Barbera, Jacopo Burger, Alessandro D'Amelio, Simone Zini, Simone Bianco, Raffaella Lanzarotti, Paolo Napoletano, Giuseppe Boccignone, Jose Luis Contreras-Vidal
https://arxiv.org/abs/2506.16168

On using AI for EEG-based BCI applications: problems, current challenges and future trends
Imagine unlocking the power of the mind to communicate, create, and even interact with the world around us. Recent breakthroughs in Artificial Intelligence (AI), especially in how machines "see" and "understand" language, are now fueling exciting progress in decoding brain signals from scalp electroencephalography (EEG). Prima facie, this opens the door to revolutionary brain-computer interfaces (BCIs) designed for real life, moving beyond traditional uses to envision Brain-to-Speech, Brain-to-…