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Closing the Sim-to-Real Gap: An Evaluation Framework for Autonomous Cyber Defense Configuration of Commercial EDR
new Abstract: Leading commercial endpoint detection and response (EDR) products have shifted from operator-configured rule sets to multi-component systems where autonomous AI components operate alongside, and increasingly in place of, operator-deployed policies. Autonomous defense agents using commercial EDR as their hardening tool are no longer tuning a passive tool, but a black-box autonomous system capable of making vendor-specific decisions. We present the first evaluation framework for...
Bolt, Stellantis, Pony.ai to launch autonomous vehicle test program in Luxembourg
Bolt, Stellantis, Pony.ai to launch autonomous vehicle test program in Luxembourg June 8 : Estonian vehicle sharing platform Bolt will launch its first autonomous mobility test program in Luxembourg in collaboration with carmaker Stellantis and Chinese robotaxi operator Pony.ai, the companies said on Monday. The announcement followed a joint declaration of intent signed by 18 European Union member states on large-scale cross-border tests for autonomous vehicles under the European Automotive...
SW-$A^2$-Bench: Benchmarking Autonomous Software Agent Generation for Agentic Web
Announce Type: replace Abstract: The Agentic Web is emerging as a paradigm in which autonomous software agents interact with online resources and with each other to accomplish user goals. However, the capacity of Agentic Web is still limited by insufficient autonomous software agent population, which has become a crucial challenge for scaling Agentic Web. In order to alleviate this, we study the task of automatically converting existing code repositories into autonomous software agents via...
Driverless taxis: Uber plans to test autonomous robotaxis in Munich
In San Francisco and Beijing they are already a familiar sight; soon driverless taxis could also be ferrying passengers around Munich. Uber plans to roll out autonomous robotaxis there, but it is still waiting for the green light from regulators. The decision was announced in Taipei, but it actually concerns a completely different city: in Munich, Uber plans to deploy autonomous robotaxis together with the AI company Autobrains.
Exploring Autonomous Agentic Data Engineering for Model Specialization
arXiv:2605.30407v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated strong performance on general tasks, while often struggling to adapt to specialized domains without high-quality domain-specific data. Existing LLM-based data curation methods primarily rely on human-designed workflows, leaving it unexamined whether LLMs can autonomously execute an end-to-end data engineering pipeline for model specialization. We formalize \textbf{Autonomous Agentic Data...
Exploring Autonomous Agentic Data Engineering for Model Specialization
arXiv:2605.30407v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated strong performance on general tasks, while often struggling to adapt to specialized domains without high-quality domain-specific data. Existing LLM-based data curation methods primarily rely on human-designed workflows, leaving it unexamined whether LLMs can autonomously execute an end-to-end data engineering pipeline for model specialization. We formalize Autonomous Agentic Data Engineering, a...
Governance Controls for AI-Generated Test Artifacts in Autonomous Software Testing
Announce Type: new Abstract: Artificial Intelligence (AI) and Large Language Models (LLMs) are increasingly used in autonomous software testing; however, AI-generated test artifacts often suffer from hallucinations, compliance violations, security risks, and limited explainability. To enhance the reliability, transparency, and trustworthiness of AI-generated testing artifacts, this research introduces the concept of Governance-Aware Autonomous Testing Framework (GATF). The framework extends...
Glass Box at Orbit: A Constitutional AI Verification Framework for Trustworthy Autonomous CubeSat Intelligence
arXiv:2606.02967v1 Announce Type: new Abstract: The space industry is quietly building toward something nobody has fully reckoned with: orbital data centers running thousands of autonomous AI workloads with no human in the loop, 550 km above the Earth. Microsoft, AWS, and a growing list of orbital computing ventures are moving cloud-scale processing off the ground and into orbit. What none of them have answered yet is the governance question -- when autonomous AI systems at orbital data...
From Segments to Scenes: Temporal Understanding in Autonomous Driving via Vision-Language Model
Announce Type: replace Abstract: Vision-Language Models (VLMs) are increasingly deployed as the perception and reasoning backbone of autonomous agents acting in the wild, with autonomous driving (AD) being one of the most safety-critical instances. Reliable temporal understanding is essential for such agents to anticipate events, attribute causes, and act safely in dynamic environments, yet this remains a significant challenge even for state-of-the-art (SoTA) VLMs. Prior video benchmarks...
FedS2R: One-Shot Federated Domain Generalization for Synthetic-to-Real Semantic Segmentation in Autonomous Driving
Announce Type: replace Abstract: Federated domain generalization has shown promising progress in image classification by enabling collaborative training across multiple clients without sharing raw data. However, its potential in the semantic segmentation of autonomous driving remains underexplored. In this paper, we propose FedS2R, the first one-shot federated domain generalization framework for synthetic-to-real semantic segmentation in autonomous driving.