Tootfinder

China issues first industry standard for brain-computer interface medical devices https://technode.com/2025/09/17/china-issues-first-industry-standard-for-brain-computer-interface-medical-devices/ 我国第一项脑机接口医疗器械标准发布

Die #Kernfusionskollektoranlage hat heute 0,963 kWh Energie eingefangen.
Gesamtleistung: 480 Wp
Ausrichtung: West
Anstellwinkel: 58 Grad
Diese #Balkonsolaranlage wurde durch das Berliner SolarPLUS-Programm gefördert.
Einspeiseverlust: 5.41 %

River bar! #EuroPython

An Artificial Intelligence Driven Semantic Similarity-Based Pipeline for Rapid Literature
Abhiyan Dhakal (Kathmandu University, Dhulikhel, Nepal), Kausik Paudel (Kathmandu University, Dhulikhel, Nepal), Sanjog Sigdel (Kathmandu University, Dhulikhel, Nepal)
https://arxiv.org/abs/2509.15292

An Artificial Intelligence Driven Semantic Similarity-Based Pipeline for Rapid Literature
We propose an automated pipeline for performing literature reviews using semantic similarity. Unlike traditional systematic review systems or optimization based methods, this work emphasizes minimal overhead and high relevance by using transformer based embeddings and cosine similarity. By providing a paper title and abstract, it generates relevant keywords, fetches relevant papers from open access repository, and ranks them based on their semantic closeness to the input. Three embedding models…

DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
Xiaowei Zhu, Yubing Ren, Fang Fang, Qingfeng Tan, Shi Wang, Yanan Cao
https://arxiv.org/abs/2509.15550

DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
The rapid advancement of large language models (LLMs) has blurred the line between AI-generated and human-written text. This progress brings societal risks such as misinformation, authorship ambiguity, and intellectual property concerns, highlighting the urgent need for reliable AI-generated text detection methods. However, recent advances in generative language modeling have resulted in significant overlap between the feature distributions of human-written and AI-generated text, blurring class…

Steady states of FitzHugh-Nagumo-type systems with sign-changing coefficients
Jo\~ao Marcos do \'O, Evelina Shamarova, Victor V. Silva
https://arxiv.org/abs/2508.14854 https…

Steady states of FitzHugh-Nagumo-type systems with sign-changing coefficients
We establish existence and multiplicity results for steady-state solutions of spatially heterogeneous FitzHugh-Nagumo-type systems, extending the existing theory from constant to variable coefficients that may change sign. Specifically, we study the system Specifically, we study the system $-Δu + a(x)v = f(x,u)$ in $\mathbb{R}^N$, $-Δv + b(x)v = c(x)u$ in $\mathbb{R}^N$, where $N \geqslant 3$, the coefficients $a,b,c : \mathbb{R}^N \to \mathbb{R}$ are $L^\infty_{\mathrm{loc}}$-functions…

Synergizing Static Analysis with Large Language Models for Vulnerability Discovery and beyond
Vaibhav Agrawal, Kiarash Ahi
https://arxiv.org/abs/2509.15433 https://

Synergizing Static Analysis with Large Language Models for Vulnerability Discovery and beyond
This report examines the synergy between Large Language Models (LLMs) and Static Application Security Testing (SAST) to improve vulnerability discovery. Traditional SAST tools, while effective for proactive security, are limited by high false-positive rates and a lack of contextual understanding. Conversely, LLMs excel at code analysis and pattern recognition but can be prone to inconsistencies and hallucinations. By integrating these two technologies, a more intelligent and efficient system is…

from my link log —
Fuss, futexes and furwocks: fast userlevel locking in Linux.
https://www.kernel.org/doc/ols/2002/ols2002-pages-479-495.pdf
saved 2025-08-20

A proposed mechanism for the formation of protocell-like structures on Titan: #Titan; such structures are considered the first step in the emergence of life: https://www.uni-due.de/2025-07-19-emergence-of-life-on-saturns-moon-titan

Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work
Anton Abilov, Ke Zhang, Hemank Lamba, Elizabeth M. Olson, Joel R. Tetreault, Alejandro Jaimes
https://arxiv.org/abs/2507.15823

Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work
Publications in the AI for Good space have tended to focus on the research and model development that can support high-impact applications. However, very few AI for Good papers discuss the process of deploying and collaborating with the partner organization, and the resulting real-world impact. In this work, we share details about the close collaboration with a humanitarian-to-humanitarian (H2H) organization and how to not only deploy the AI model in a resource-constrained environment, but also…