Tootfinder

Planning Considerations Related to Contamination Control for the Return and Analysis of Martian Samples: #MarsSampleReturnMission

Seeing @anirudh.fi's Tangled post with footnotes... @leaflet.pub footnotes / "asides" (as sub pages????) could be v nice!
I used to run Simply Jekyll which had really nice side notes, marginalia and other interesting interactive pieces for full desktop views simply-jekyll.netlify.app/posts/usage https://

Boris (@bmann.ca)
Seeing @anirudh.fi's Tangled post with footnotes... @leaflet.pub footnotes / "asides" (as sub pages????) could be v nice! I used to run Simply Jekyll which had really nice side notes, marginalia and other interesting interactive pieces for full desktop views simply-jekyll.netlify.app/posts/usage

Dagens tur. #Lillomarka

Neue Rüstungspanne: Bundeswehr-Digitalfunk fällt in Praxistest durch
In einem wichtigen Zukunftsprojekt der Streitkräfte scheiterten die neuen Funksysteme an simpler Bedienbarkeit. Sie gelten aktuell als "nicht truppentauglich".

Cowboys can’t ignore Pro Bowl CB in trade talks with defense in shambles https://www.si.com/nfl/cowboys/news/dallas-cowboys-cant-ignore-pro-bowl-cb-trade-talks-with-defense-shambles

1-Bit Unlimited Sampling Beyond Fourier Domain: Low-Resolution Sampling of Quantization Noise
Vaclav Pavlicek, Ayush Bhandari
https://arxiv.org/abs/2508.19408 https://

1-Bit Unlimited Sampling Beyond Fourier Domain: Low-Resolution Sampling of Quantization Noise
Analog-to-digital converters (ADCs) play a critical role in digital signal acquisition across various applications, but their performance is inherently constrained by sampling rates and bit budgets. This bit budget imposes a trade-off between dynamic range (DR) and digital resolution, with ADC energy consumption scaling linearly with sampling rate and exponentially with bit depth. To bypass this, numerous approaches, including oversampling with low-resolution ADCs, have been explored. A promine…

A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection
Chong Tian, Qirong Ho, Xiuying Chen
https://arxiv.org/abs/2508.19633 https://

A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection
Rapid LLM advancements heighten fake news risks by enabling the automatic generation of increasingly sophisticated misinformation. Previous detection methods, including fine-tuned small models or LLM-based detectors, often struggle with its dynamically evolving nature. In this work, we propose a novel framework called the Symbolic Adversarial Learning Framework (SALF), which implements an adversarial training paradigm by an agent symbolic learning optimization process, rather than relying on nu…

twitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…

Cowboys can’t ignore Pro Bowl CB in trade talks with defense in shambles https://www.si.com/nfl/cowboys/news/dallas-cowboys-cant-ignore-pro-bowl-cb-trade-talks-with-defense-shambles

Poteethoven