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'Entire system is broken': Lyhanna's death reveals 'systemic failures' in France's judicial system
François Picard is pleased to welcome Solène Podevin-Favre, President of 'Face à l'inceste' advocacy and support group and former Co-Director of Ciivise. According to Podevin-Favre, the death of Lyhanna is not an isolated tragedy. It is a 'systemic failure' that has been repeatedly identified, documented, and reported for years.
Real-time data assimilation system outperforms flood early warning system
Researchers at the Institute of Industrial Science, the University of Tokyo (UTokyo-IIS), have developed a real-time data assimilation system that substantially improves streamflow and flood forecasting accuracy across Japan. This new data assimilation system outperforms Japan's current early warning system. Compared with the previous early warning system, the new data assimilation system yields improved forecasts for 80% of the major river reaches in Japan and enables reliable flood...
IDDMBSE: Integrating Data-Driven and Model-Based Systems Engineering for Trusted Autonomous Cyber-Physical Systems
arXiv:2606.06727v1 Announce Type: new Abstract: Autonomous cyber-physical systems (CPS) sit at the intersection of Model-Based Systems Engineering (MBSE) and data-driven Machine Learning and Artificial Intelligence (ML/AI), yet no integrated Systems Engineering (SE) methodology natively spans both. We address this gap with IDDMBSE, an Integrated Data-Driven and Model-Based Systems Engineering methodology that extends the rigorous MBSE V-process with a data-driven loop at every step, anchored...
Agent Operating Systems (AOS): Integrating Agentic Control Planes into, and Beyond, Traditional Operating Systems
arXiv:2606.01508v1 Announce Type: new Abstract: Traditional operating systems were designed around deterministic programs, explicit control flow, and human initiated workflows. Their core abstractions processes, threads, system calls, files, and permissions assume bounded behavior and predictable interaction patterns. Agentic AI systems introduce a different execution model: long-lived, goal-directed entities that reason probabilistically, invoke tools dynamically, and adapt behavior based...
Fluid Antenna System-Enabled Mitigation of Asynchronous Reception in Cell-Free Massive MIMO Systems
arXiv:2606.08017v1 Announce Type: new Abstract: Practical distributed deployments inherently suffer from asynchronous signal arrivals, which exacerbate multi-user interference and degrade system performance, especially for coherent transmission. To natively mitigate the asynchronous reception effect, this paper proposes integrating fluid antenna systems (FASs) into distributed cell-free massive MIMO systems, exploiting their reconfigurable spatial positions to release additional spatial...
French justice system 'overwhelmed': 'Systemic' failures tackling violence against women & children
Annette Young is pleased to welcome Laura Slimani, Director of Projects at the Women's Foundation, a French NGO which has been very much focused on ending violence against women and girls. The killing of 11-year-old Lyhanna has ignited a wave of public anger across France, prompting demonstrations in more than 200 cities and renewed scrutiny of how the justice system handles violence against women and children. Ms. Slimani argues that the tragedy is not simply the result of an individual...
FlowGuard: Flow Matching for Identity-Independent Detection of Data-Free Model Stealing Attacks on Energy System Intrusion Detection Systems
arXiv:2606.03430v1 Announce Type: new Abstract: Artificial Intelligence (AI)-based Intrusion Detection Systems (IDS) deployed in energy infrastructure are vulnerable to model theft attacks, which allow adversaries to create evasive traffic offline. Current defences against model extraction rely either on identity-bound query monitoring, which is ineffective against distributed attackers (Sybil), or on prediction poisoning through soft-label perturbation, which is inapplicable to hard-label...
Stories and Systems: Educational Interactive Storytelling to Teach Media Literacy and Systemic Thinking
Announce Type: cross Abstract: This paper explores how Interactive Digital Narratives (IDNs) can support learners in developing the critical literacies needed to address complex societal challenges, so-called wicked problems, such as climate change, pandemics, and social inequality. While digital technologies offer broad access to narratives and data, they also contribute to misinformation and the oversimplification of interconnected issues.
Robustness of Incentive Mechanisms Against System Misspecification in Congestion Games
Announce Type: replace Abstract: To steer the behavior of selfish, resource-sharing agents in a socio-technical system towards the direction of higher efficiency, the system designer requires accurate models of both agent behaviors and the underlying system infrastructure. For instance, traffic controllers often use road latency models to design tolls whose deployment can effectively mitigate traffic congestion. However, misspecifications of system parameters may restrict a system designer's...
SePO: Self-Evolving Prompt Agent for System Prompt Optimization
Announce Type: new Abstract: System prompt optimization improves agent behavior without modifying the underlying model, yielding human-readable, model-agnostic instructions. Existing methods build a prompt agent that refines task agents' system prompts, yet leave the prompt agent's own system prompt hand-engineered and fixed. We propose Self-Evolving Prompt Optimization (SePO), which treats the prompt agent's own system prompt as an optimization target alongside task agents' system prompts.