Projekt EXA4MIND
Permanent URI for this collectionhttp://hdl.handle.net/10084/152251
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Item type: Item , D5.2 : New AI Models to Reduce Manual Annotation(2024) Vobecký, Antonín; Šivic, Josef; Hurych, David; Martinovič, Tomáš; Görkem Özer, ArifThis deliverable presents two new AI models developed in Task 5.3 to reduce the amount of required manual annotations in the context of annotating large-scale multi-modal data in autonomous driving in WP5. The developed models build on recent breakthrough advancements in (multi-modal) self-supervised machine learning. We address two key perception tasks for the automatic annotation of data from autonomous driving. We start with models for object instance detection and segmentation. Then we proceed to models for semantic segmentation but address the semantic segmentation problem in a novel 2D-3D setting. For both problems, we address the open vocabulary setting, which enables reasoning about any object class that can be specified in natural language. This is an important set-up for autonomous driving as it enables describing also unusual situations and corner cases. The developed models have been deployed on use-case-specific data provided by VALEO and are ready to be integrated into the tool for testing and validation of advanced driver assistance systems developed in Task 5.2.Item type: Item , D1.3 : Training Plan(2024) Echarte, Arantxa; Karagöz, Pinar; Derquennes, MarcDeliverable D1.3 Training Plan, developed under Task T1.4 of Work Package 1 (WP1) within the EXA4MIND project, outlines a comprehensive strategy for fostering a collaborative community that will drive innovation, knowledge exchange, and the widespread adoption of the project’s outcomes. The primary goal is to ensure the long-term impact, sustainability, and relevance of EXA4MIND technologies by engaging stakeholders such as researchers, industry professionals, policymakers, and end users. The training program includes diverse activities such as webinars, hands-on activities, and industry engagement sessions, designed to build expertise in areas like Extreme Data Mining, Large Language Models, and High-Performance Computing. Key training materials and resources will be delivered through the EXAKI self-service platform and other online and in-person events. Feedback mechanisms will ensure EXA4MIND considers continuous improvement and alignment with community needs. Through these initiatives, the EXA4MIND project aims to create a dynamic learning environment, empowering participants to implement cutting-edge technologies and fostering a vibrant community focused on advanced data analytics and innovation.Item type: Item , D8.1 : Data Management Plan(Vysoká škola báňská – Technická univerzita Ostrava. IT4I, 2023) Slaninová, Kateřina; Hachinger, Stephan; Harsh, Piyush; Mlýnský, Vojtěch; Šivic, Josef; Vobecký, Antonín; Hurych, David; Zahradník, Jan; Freani, Jérôme; Karagoz, Pinar; Derquennes, MarcThe Data Management Plan lays out our planning for handling main aspects of the life cycle of the project data (data organisation and long-term storage, access, preservation, and sharing). This document also includes a preliminary specification of outputs (what data will be generated during the project). It is a living document and will be continuously updated during the project.Item type: Item , D7.1 : Impact Master Plan(Vysoká škola báňská – Technická univerzita Ostrava. IT4I, 2023) Echarte, Arantxa; Espino, Alejandra; Derquennes, Marc; Lopez, Diana; Martinovič, Jan; Slaninová, Kateřina; Dobiašová, Markéta; Harsh, Piyush; Hachinger, StephanThis document outlines the planning of the dissemination, communication, exploitation and standardisation strategies for the EXA4MIND Horizon Europe project. This planning will be of relevance throughout the duration of the project and will be revisited periodically as it progresses.Item type: Item , D2.2 : Data and Workflow Management Toolbox Alpha Status Report(Vysoká škola báňská – Technická univerzita Ostrava. IT4I, 2023) Hayek, Mohamad; Golasowski, Martin; Hachinger, Stephan; Martinovič, Jan; Číž, David; Hurych, David; Harsh, Piyush; Martinovič, Tomáš; Zahradník, JanThe EXA4MIND project connects pre-eminent databases and data management systems to supercomputing systems and European Data Spaces as well as the world of FAIR research data. The core purpose of this endeavour is running next-generation Extreme Data workflows, with emphasis on data analytics, Machine Learning / Artificial Intelligence, or classical simulations. This deliverable reports on the Data and Workflow Management Toolbox provided for this purpose, building upon the successful LEXIS Platform (delivered by the H2020 project, GA 825532). Furthermore, it illustrates the first workflows run by our application cases at supercomputing centres as a basis for the milestone MS5 First Data-driven Workflows have been Executed using Systems at Supercomputing Centres.Item type: Item , D2.1 : Extreme Data Flow Patterns – Report(Vysoká škola báňská – Technická univerzita Ostrava. IT4I, 2023) Golasowski, Martin; Hayek, Mohamad; Číž, David; Hurych, David; Zahradník, Jan; Harsh, Piyush; Serbetot, Loïck; Karagoz, Pinar; Freani, JérômeThis deliverable of the EXA4MIND project collects and analyses data flow patterns from all the project application cases. The collected data flow descriptions are used to identify a set of common occurring patterns that will be taken into account when designing the Extreme Data Database.Item type: Item , D1.1 : Application Cases and Architecture Requirements(Vysoká škola báňská – Technická univerzita Ostrava. IT4I, 2023) Hayek, Mohamad; Golasowski, Martin; Karagosz, Pinar; Číž, David; Zahradník, Jan; Hurych, David; Harsh, Piyush; Freani, Jérôme; Vobecký, Antonín; Hakki Toroslu, IsmailThis document is the first deliverable of the EXA4MIND project. It contains requirements provided by the project’s application-case work packages WP4-WP6 and their mapping to the EXA4MIND Platform features. The document is roughly divided into two parts. The first part is containing a unified description of each application case and its requirements. The second half of the document contains the mapping of the requirements to the technical features of the EXA4MIND Platform and the project objectives provided by the technical work packages WP1-WP3.