Proceedings of the First International Workshop on Autonomous Systems Quality Assurance and Prediction with Digital Twins
- URL: http://arxiv.org/abs/2505.02873v1
- Date: Sun, 04 May 2025 16:53:30 GMT
- Title: Proceedings of the First International Workshop on Autonomous Systems Quality Assurance and Prediction with Digital Twins
- Authors: Marsha Chechik, Arianna Fedeli, Gianluca Filippone, Federico Formica, Mirgita Frasheri, Nico Hochgeschwender, Lina Marsso,
- Abstract summary: This volume contains the proceedings of the First International Workshop on Autonomous Systems Quality Assurance and Prediction with Digital Twins (ASQAP 2025)<n>The aim of ASQAP 2025 is to gather experts from academia and industry to explore the potential of digital twin technology in supporting quality assurance in autonomous systems.
- Score: 5.277024349608834
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: This volume contains the proceedings of the First International Workshop on Autonomous Systems Quality Assurance and Prediction with Digital Twins (ASQAP 2025), which was held in Hamilton, Canada, on May 4th, 2025, as a satellite event of ETAPS 2025. The aim of ASQAP 2025 is to gather experts from academia and industry to explore the potential of digital twin technology in supporting quality assurance in autonomous systems, including concepts such as specification, verification, validation, testing, analysis, and many others.
Related papers
- Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models [95.9909582708447]
Digital twins, as precise digital representations of physical systems, have evolved from passive simulation tools into intelligent and autonomous entities.<n>This paper presents a unified four-stage framework that characterizes AI integration across the digital twin lifecycle.
arXiv Detail & Related papers (2026-01-04T01:17:09Z) - Estimating the Scale of Digital Minds [0.0]
This report estimates the potential number of digital minds, defined as AI systems exhibiting observable traits such as agency, personality, and intelligence, in the coming decades.<n>It employs two complementary approaches: first, examining specific use cases for digital minds and projecting adoption rates for each; second, analyzing trends in AI chip production and efficiency independent of digital mind applications.
arXiv Detail & Related papers (2025-12-23T22:48:56Z) - The Future of the AI Summit Series [26.597388030007835]
This policy memo examines the evolution of the international AI Summit series, initiated at Bletchley Park in 2023 and continued through Seoul in 2024 and Paris in 2025.<n>It analyzes the factors underpinning the series' early successes and assesses challenges related to scope, participation, continuity, and institutional design.<n>It proposes a set of design recommendations aimed at preserving the series' focus on advanced AI governance while balancing inclusivity, effectiveness, and long-term sustainability.
arXiv Detail & Related papers (2025-12-19T23:30:07Z) - Proceedings of the 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025) [1.8211917034215184]
The 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025) was held in Nagaoka, Japan, on December 3-5, 2025.<n>The conference provides a multidisciplinary forum for researchers in artificial intelligence, knowledge engineering, human-computer interaction, and creativity support systems.
arXiv Detail & Related papers (2025-11-28T22:08:29Z) - International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management [115.92752850425272]
Second update to the 2025 International AI Safety Report assesses new developments in general-purpose AI risk management over the past year.<n> examines how researchers, public institutions, and AI developers are approaching risk management for general-purpose AI.
arXiv Detail & Related papers (2025-11-25T03:12:56Z) - 2COOOL: 2nd Workshop on the Challenge Of Out-Of-Label Hazards in Autonomous Driving [28.378845467294962]
The 2nd Workshop on the Challenge of Out-of-Label Hazards in Autonomous Driving (2COOOL) will be held at the International Conference on Computer Vision (ICCV) 2025 in Honolulu, Hawaii, on October 19, 2025.<n>We aim to inspire the development of new algorithms and systems for hazard avoidance, drawing on ideas from anomaly detection, open-set recognition, open-vocabulary modeling, domain adaptation, and related fields.
arXiv Detail & Related papers (2025-08-18T18:55:54Z) - CuriosAI Submission to the EgoExo4D Proficiency Estimation Challenge 2025 [0.0]
This report presents the CuriosAI team's submission to the EgoExo4D Estimation Challenge at CVPR 2025.<n>We propose two methods for multi-view skill assessment: (1) a multi-task learning framework using Sapiens-2B that jointly predicts proficiency and scenario labels (43.6 % accuracy), and (2) a two-stage pipeline combining zero-shot scenario recognition with view-specific VideoMAE classifiers (47.8 % accuracy)<n>The superior performance of the two-stage approach demonstrates the effectiveness of scenario-conditioned modeling for proficiency estimation.
arXiv Detail & Related papers (2025-07-08T12:33:02Z) - SIGIR 2025 -- LiveRAG Challenge Report [10.33475098016246]
The LiveRAG Challenge at SIGIR 2025 provided a competitive platform for advancing Retrieval-Augmented Generation technologies.<n>70 teams from 27 different countries provided answers and supportive information to 500 unseen questions within a strict two-hour time window.<n>The finalists were announced on June 12, 2025, with prizes awarded during the LiveRAG Workshop at SIGIR 2025 in Padua, Italy.
arXiv Detail & Related papers (2025-07-07T12:38:53Z) - Benchmarking Generalizable Bimanual Manipulation: RoboTwin Dual-Arm Collaboration Challenge at CVPR 2025 MEIS Workshop [120.2806035123366]
RoboTwin Dual-Arm Collaboration Challenge was held at the 2nd MEIS Workshop, CVPR 2025.<n>Competitors totally tackled 17 dual-arm manipulation tasks, covering rigid, deformable, and tactile-based scenarios.<n>Report outlines the competition setup, task design, evaluation methodology, key findings and future direction.
arXiv Detail & Related papers (2025-06-29T17:56:41Z) - Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices [70.24403396375277]
The "Greening AI with Software Engineering" CECAM-Lorentz workshop was held February 3-7, 2025 in Lausanne, Switzerland.<n>This report presents a research agenda emerging from the workshop.<n>It outlines open research directions and practical recommendations to guide the development of environmentally sustainable AI-enabled systems.
arXiv Detail & Related papers (2025-06-02T15:19:49Z) - Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge [78.35388859345056]
We argue that the ML community would benefit from learning from and drawing on the social sciences when developing measurement instruments for evaluating GenAI systems.<n>We present a four-level framework, grounded in measurement theory from the social sciences, for measuring concepts related to the capabilities, behaviors, and impacts of GenAI.
arXiv Detail & Related papers (2025-02-01T21:09:51Z) - The First VoicePrivacy Attacker Challenge Evaluation Plan [39.256453635652484]
The First VoicePrivacy Attacker Challenge is a new kind of challenge organized as part of the VoicePrivacy initiative and supported by ICASSP 2025 as the SP Grand Challenge.
It focuses on developing attacker systems against voice anonymization, which will be evaluated against a set of anonymization systems submitted to the VoicePrivacy 2024 Challenge.
arXiv Detail & Related papers (2024-10-09T20:48:03Z) - AAAI Workshop on AI Planning for Cyber-Physical Systems -- CAIPI24 [41.763307317515725]
The workshop highlighted new approaches such as neuro-symbolic architectures, large language models (LLMs), deep reinforcement learning and advances in symbolic planning.
These techniques are promising when it comes to managing the complexity of CPS and have potential for real-world applications.
arXiv Detail & Related papers (2024-10-08T05:52:00Z) - QEYSSat 2.0 -- White Paper on Satellite-based Quantum Communication
Missions in Canada [0.0]
The study objective was to establish a technology road-map for a Canada-wide quantum network enabled by satellites.
We report the findings of a dedicated one-day workshop that included Canadian stakeholders from government, industry and academia.
We present and analyze a possible future mission ('QEYSSat 2.0') that would enable a long range quantum teleportation across Canada.
arXiv Detail & Related papers (2023-06-04T21:03:45Z) - MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised
Learning [90.17500229142755]
The first Multimodal Emotion Recognition Challenge (MER 2023) was successfully held at ACM Multimedia.
This paper introduces the motivation behind this challenge, describe the benchmark dataset, and provide some statistics about participants.
We believe this high-quality dataset can become a new benchmark in multimodal emotion recognition, especially for the Chinese research community.
arXiv Detail & Related papers (2023-04-18T13:23:42Z) - Reducing a complex two-sided smartwatch examination for Parkinson's
Disease to an efficient one-sided examination preserving machine learning
accuracy [63.20765930558542]
We have recorded participants performing technology-based assessments in a prospective study to research Parkinson's Disease (PD)
This study provided the largest PD sample size of two-hand synchronous smartwatch measurements.
arXiv Detail & Related papers (2022-05-11T09:12:59Z) - Learn-to-Race Challenge 2022: Benchmarking Safe Learning and
Cross-domain Generalisation in Autonomous Racing [12.50944966521162]
We present the results of our autonomous racing virtual challenge, based on the newly-released Learn-to-Race (L2R) simulation framework.
In this paper, we describe the new L2R Task 2.0 benchmark, with refined metrics and baseline approaches.
We also provide an overview of deployment, evaluation, and rankings for the inaugural instance of the L2R Autonomous Racing Virtual Challenge.
arXiv Detail & Related papers (2022-05-05T22:31:19Z) - Two-Stream Consensus Network: Submission to HACS Challenge 2021
Weakly-Supervised Learning Track [78.64815984927425]
The goal of weakly-supervised temporal action localization is to temporally locate and classify action of interest in untrimmed videos.
We adopt the two-stream consensus network (TSCN) as the main framework in this challenge.
Our solution ranked 2rd in this challenge, and we hope our method can serve as a baseline for future academic research.
arXiv Detail & Related papers (2021-06-21T03:36:36Z) - An interdisciplinary conceptual study of Artificial Intelligence (AI)
for helping benefit-risk assessment practices: Towards a comprehensive
qualification matrix of AI programs and devices (pre-print 2020) [55.41644538483948]
This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence.
The aim is to identify shared notions or discrepancies to consider for qualifying AI systems.
arXiv Detail & Related papers (2021-05-07T12:01:31Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.