Tootfinder

“.. slim laden tot een gemiddeld 70 procent lagere energievraag door e-auto’s tijdens de stroomspits.
[..]
Die korting was tijdens de proefperiode gemiddeld 82 cent, ofwel 7,5 procent op een laadbeurt.
Deze relatief kleine beloning blijkt voldoende om het laadgedrag van e-rijders te veranderen.”
de Volkskrant: Als er een financieel voordeeltje te behalen is, wil de e-automobilist ineens wel ‘slim laden’

Reducing False Positives with Active Behavioral Analysis for Cloud Security
Dikshant, Verma
https://arxiv.org/abs/2508.12584 https://arxiv.org/pdf/2508.12…

Reducing False Positives with Active Behavioral Analysis for Cloud Security
Rule-based cloud security posture management (CSPM) solutions are known to produce a lot of false positives based on the limited contextual understanding and dependence on static heuristics testing. This paper introduces a validation-driven methodology that integrates active behavioral testing in cloud security posture management solution(s) to evaluate the exploitability of policy violations in real time. The proposed system employs lightweight and automated probes, built from open-source tool…

Controlling IER and EER in replicated regular two-level factorial experiments
Pengfei Li, Oludotun J. Akinlawon, Shengli Zhao
https://arxiv.org/abs/2507.13621

Controlling IER and EER in replicated regular two-level factorial experiments
Replicated regular two-level factorial experiments are very useful for industry. The goal of these experiments is to identify active effects that affect the mean and variance of the response. Hypothesis testing procedures are widely used for this purpose. However, the existing methods give results that are either too anticonservative or conservative in controlling the individual and experimentwise error rates (IER and EER). In this paper, we propose {a Monte Carlo method} and an exact-variance …

Ashton Jeanty runs over 49ers defenders, scores first NFL touchdown https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/ashton-jeanty-runs-over-49ers-defenders-scores-first-nfl-touchdown/6…

Testing it rn
@… https://social.growyourown.services/@FediTips/115220480846307303

Active Sequential Hypothesis Testing with Non-Homogeneous Costs
George Vershinin, Asaf Cohen, Omer Gurewitz
https://arxiv.org/abs/2509.11632 https://arxiv.…

Active Sequential Hypothesis Testing with Non-Homogeneous Costs
We study the Non-Homogeneous Sequential Hypothesis Testing (NHSHT), where a single active Decision-Maker (DM) selects actions with heterogeneous positive costs to identify the true hypothesis under an average error constraint \(δ\), while minimizing expected total cost paid. Under standard arguments, we show that the objective decomposes into the product of the mean number of samples and the mean per-action cost induced by the policy. This leads to a key design principle: one should optimize t…

Unusual aircraft activity at Novaya Zemlya linked to Burevestnik testing
-- Barents Observer
https://www.thebarentsobserver.com/security/unusual-aircraft-activity-at-novaya-zemlya-linked-to-burevestnik-testing/4…

Hola @ticketmastercl@x.com, compré pase 3 días para #LollaCL2026 y no me apareció el descuento del Banco de Chile, pero ahora estš disponible. ¿Hay algún método de compensación para quienes compramos antes y no se nos activó el descuento?
@lollapaloozacl@x.com

Shell or Nothing: Real-World Benchmarks and Memory-Activated Agents for Automated Penetration Testing
Wuyuao Mai, Geng Hong, Qi Liu, Jinsong Chen, Jiarun Dai, Xudong Pan, Yuan Zhang, Min Yang
https://arxiv.org/abs/2509.09207

Shell or Nothing: Real-World Benchmarks and Memory-Activated Agents for Automated Penetration Testing
Penetration testing is critical for identifying and mitigating security vulnerabilities, yet traditional approaches remain expensive, time-consuming, and dependent on expert human labor. Recent work has explored AI-driven pentesting agents, but their evaluation relies on oversimplified capture-the-flag (CTF) settings that embed prior knowledge and reduce complexity, leading to performance estimates far from real-world practice. We close this gap by introducing the first real-world, agent-orient…

Single and multi-objective optimal designs for group testing experiments
Chi-Kuang Yeh, Weng Kee Wong, Julie Zhou
https://arxiv.org/abs/2508.08445 https://…

Single and multi-objective optimal designs for group testing experiments
Group testing, or pooled sample testing, is an active research area with increasingly diverse applications across disciplines. This paper considers design issues for group testing problems when a statistical model, an optimality criterion and a cost function are given. We use the software CVX to find designs that best estimate all or some of the model parameters ($D$ -, $D_s$ -, $A$-optimality) when there is one or more objectives in the study. A novel feature is that we include maximin types o…