Tootfinder

Guten Morgen, Freunde des Mon- und des Dienstags! Es ist wieder #DNIPBriefing-Tag!
1️⃣ #Microsoft ist auf Tour. Die Etappe in der Schweiz war nur ein Zwischenstopp, quasi zum Aufwärmen. In Nordrhein-Westfalen haben sie ein paar Tage später ebenfalls Halt gemacht. Und beim Thema Weiter…

Laser Guided Microbubble Lithography for Multilayer Biophotonic Heterostructures
Anand Dev Ranjan, Suyash Narayan Amzare, Subhrokoli Ghosh, Ayan Banerjee
https://arxiv.org/abs/2506.10320

Laser Guided Microbubble Lithography for Multilayer Biophotonic Heterostructures
The fabrication of multilayered heterostructures is essential for advancing microelectronic and biosensing technologies. Conventional top-down manufacturing techniques are often cost-prohibitive and unsuitable for biomedical applications. Here, we present a bottom-up fabrication method, termed microbubble lithography, which enables the in situ construction of multilayered microstructures through layer-by-layer self-assembly. This technique allows diverse materials to be integrated into coherent…

United States wondered how China had made such progress in the field of microchips. Huawei and Xiaomi are the answer, with massive development.
https://farmingdale-observer.c…

WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis
Liangliang Chen, Huiru Xie, Jacqueline Rohde, Ying Zhang
https://arxiv.org/abs/2506.08962

WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis
This research-to-practice work-in-progress (WIP) paper presents an AI-enabled smart tutor designed to provide homework assessment and feedback for students in an undergraduate circuit analysis course. We detail the tutor's design philosophy and core components, including open-ended question answering and homework feedback generation. The prompts are carefully crafted to optimize responses across different problems. The smart tutor was deployed on the Microsoft Azure platform and is currently in…

LLM scope violation: KI öffnet neue Angriffsflächen
https://www.lemonde.fr/pixels/article/2025/06/12/une-faille-informatique-detectee-dans-l-ia-microsoft-365-copilot_6612529_4408996.html

The non-unit conjecture for Misiurewicz parameters
Robert L. Benedetto, Vefa Goksel
https://arxiv.org/abs/2506.05254 https://arxiv.or…

The non-unit conjecture for Misiurewicz parameters
A Misiurewicz parameter is a complex number $c$ for which the orbit of the critical point $z=0$ under $z^2+c$ is strictly preperiodic. Such parameters play the same role in dynamical moduli spaces as singular moduli (corresponding to CM elliptic curves) play on modular curves. Building on our earlier work, we investigate whether the difference of two Misiurewicz parameters can be an algebraic unit. (The corresponding question for singular moduli was recently answered in the negative by Li.) We …

»IT-Sicherheitsforscher entdecken Tiktok-Kampagne zur Malware-Installation:
Trend Micros Virenanalysten haben eine Kampagne auf Tiktok aufgespürt, die Opfer anleitet, Infostealer-Malware zu installieren.«
Jegliche online Dienste, die öffentlich populär sind, werden auch als Punkt benutzt um Angriffe zu erfolgen. Ich gehe mal davon aus, dass dies bei denen "nur" über den Desktop geht.
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IT-Sicherheitsforscher entdecken Tiktok-Kampagne zur Malware-Installation
Trend Micros Virenanalysten haben eine Kampagne auf Tiktok aufgespürt, die Opfer anleitet, Infostealer-Malware zu installieren.

RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering
Ines Besrour, Jingbo He, Tobias Schreieder, Michael F\"arber
https://arxiv.org/abs/2506.16988

RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering
We present RAGentA, a multi-agent retrieval-augmented generation (RAG) framework for attributed question answering (QA). With the goal of trustworthy answer generation, RAGentA focuses on optimizing answer correctness, defined by coverage and relevance to the question and faithfulness, which measures the extent to which answers are grounded in retrieved documents. RAGentA uses a multi-agent architecture that iteratively filters retrieved documents, generates attributed answers with in-line cita…

Das #DNIP Briefing, heute mit einer Microsoft-Salesshow in Bern und … Killerzahnbürsten https://dnip.ch/2025/06/03/dnip-briefing-27-parmelin-mit-p-wie-pr/

Real-Time AI-Driven Pipeline for Automated Medical Study Content Generation in Low-Resource Settings: A Kenyan Case Study
Emmanuel Korir, Eugene Wechuli
https://arxiv.org/abs/2507.05212

Real-Time AI-Driven Pipeline for Automated Medical Study Content Generation in Low-Resource Settings: A Kenyan Case Study
Juvenotes is a real-time AI-driven pipeline that automates the transformation of academic documents into structured exam-style question banks, optimized for low-resource medical education settings in Kenya. The system combines Azure Document Intelligence for OCR and Azure AI Foundry (OpenAI o3-mini) for question and answer generation in a microservices architecture, with a Vue/TypeScript frontend and AdonisJS backend. Mobile-first design, bandwidth-sensitive interfaces, institutional tagging, a…