Tootfinder

Ich wurde vom Falter zu dem geplanten Staatstrojaner interviewt: https://www.falter.at/zeitung/20250603/wie-pflanzt-man-einen-staatstrojaner-ein-herr-professor

Spionage-Software: Wie pflanzt man einen Staatstrojaner ein, Herr Professor?
Verfassungsschützer wollen die verschlüsselte Kommunikation von Terroristen überwachen können. Der Experte René Mayrhofer zweifelt an den Regierungsplänen und erklärt, was der Trojaner mit dem Schwarzmarkt zu tun hat

This is a super interesting read on Ukraine's use of cheap drones and FLOSS software for its targeted strikes deep inside Russia.
https://www.404media.co/ukraines-massive-drone-attack-was-powered-by-open-source-software/

Source: Steelers renew talks with Fins TE Smith https://www.espn.com/nfl/story/_/id/45445180/source-steelers-renew-talks-dolphins-te-jonnu-smith

Moin!
Ich bin auf der Suche nach einer neuen Herausforderung im Raum #Hannover #Braunschweig, aber auch per VPN-Astralprojektion.
Falls ihr jemanden kennt, der jemanden sucht, der seit >10 Jahren in der Softwareentwicklung und -architektur zaubert und zuletzt Teams durch das Chaos der Produ…

SysLLMatic: Large Language Models are Software System Optimizers
Huiyun Peng, Arjun Gupte, Ryan Hasler, Nicholas John Eliopoulos, Chien-Chou Ho, Rishi Mantri, Leo Deng, Konstantin L\"aufer, George K. Thiruvathukal, James C. Davis
https://arxiv.org/abs/2506.01249

SysLLMatic: Large Language Models are Software System Optimizers
Automatic software system optimization can improve software speed, reduce operating costs, and save energy. Traditional approaches to optimization rely on manual tuning and compiler heuristics, limiting their ability to generalize across diverse codebases and system contexts. Recent methods using Large Language Models (LLMs) offer automation to address these limitations, but often fail to scale to the complexity of real-world software systems and applications. We present SysLLMatic, a system th…

Optimizing Software Defined Battery Systems for Transformer Protection
Sonia Martin, Obidike Nnorom Jr., Philip Levis, Ram Rajagopal
https://arxiv.org/abs/2506.03439

Optimizing Software Defined Battery Systems for Transformer Protection
Residential electric vehicle charging causes large spikes in electricity demand that risk violating neighborhood transformer power limits. Battery energy storage systems reduce these transformer limit violations, but operating them individually is not cost-optimal. Instead of individual optimization, aggregating, or sharing, these batteries leads to cost-optimal performance, but homeowners must relinquish battery control. This paper leverages virtualization to propose battery sharing optimizati…

Ukraine's Massive Drone Attack Was Powered by Open Source Software https://www.404media.co/ukraines-massive-drone-attack-was-powered-by-open-source-software/

Functionality Assessment Framework for Autonomous Driving Systems using Subjective Networks
Stefan Orf, Sven Ochs, Valentin Marotta, Oliver Conder, Marc Ren\'e Zofka, J. Marius Z\"ollner
https://arxiv.org/abs/2506.02922

Functionality Assessment Framework for Autonomous Driving Systems using Subjective Networks
In complex autonomous driving (AD) software systems, the functioning of each system part is crucial for safe operation. By measuring the current functionality or operability of individual components an isolated glimpse into the system is given. Literature provides several of these detached assessments, often in the form of safety or performance measures. But dependencies, redundancies, error propagation and conflicting functionality statements do not allow for easy combination of these measures…

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices
Lu\'is Cruz, Jo\~ao Paulo Fernandes, Maja H. Kirkeby, Silverio Mart\'inez-Fern\'andez, June Sallou, Hina Anwar, Enrique Barba Roque, Justus Bogner, Joel Casta\~no, Fernando Castor, Aadil Chasmawala, Sim\~ao Cunha, Daniel Feitosa, Alexandra Gonz\'alez, Andreas Jedlitschka, Patricia Lago, Ana Oprescu, Pooja Rani, Jo\~ao Saraiva, Federica Sarro, Raghavendra…

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices
The environmental impact of Artificial Intelligence (AI)-enabled systems is increasing rapidly, and software engineering plays a critical role in developing sustainable solutions. The "Greening AI with Software Engineering" CECAM-Lorentz workshop (no. 1358, 2025) funded by the Centre Européen de Calcul Atomique et Moléculaire and the Lorentz Center, provided an interdisciplinary forum for 29 participants, from practitioners to academics, to share knowledge, ideas, practices, and current resul…

Online Performance Assessment of Multi-Source-Localization for Autonomous Driving Systems Using Subjective Logic
Stefan Orf, Sven Ochs, Marc Ren\'e Zofka, J. Marius Z\"ollner
https://arxiv.org/abs/2506.02932

Online Performance Assessment of Multi-Source-Localization for Autonomous Driving Systems Using Subjective Logic
Autonomous driving (AD) relies heavily on high precision localization as a crucial part of all driving related software components. The precise positioning is necessary for the utilization of high-definition maps, prediction of other road participants and the controlling of the vehicle itself. Due to this reason, the localization is absolutely safety relevant. Typical errors of the localization systems, which are long term drifts, jumps and false localization, that must be detected to enhance s…