Publicly Funded Projects
Collaboration with partners from business and science in publicly funded projects enables us to identify technological trends faster and be actively involved in shaping new business fields right from the start.
Our active participation in research cooperations also makes us a key member of international research and development networks. It also offers us the possibility to align ourselves well for handling future challenges. On account of the wide spectrum of topics covered by the company, BCAI is a partner who can offer a great deal of experience in numerous areas and in many cases even ensure early market access. In order to define future research fields, we are also represented as experts in various bodies at both national and international level. Here we present a selection of top publicly funded projects BCAI is involved in.
More information below
OntoCommon
Ontology-driven data documentation for industry commons
OntoCommons lays the foundation for interoperable, harmonised and standardised data documentation through ontologies, facilitating data sharing and pushing data-driven innovation, to bring out a truly Digital Single Market and new business models for European industry, exploit the opportunities of digitalisation and address sustainability challenges. This will be achieved by developing the Ontology Commons EcoSystem (OCES) - a set of ontologies and tools that follows specific standardisation rules - and provide a sustainable approach, making the data FAIR (Findable, Accessible, Interoperable and Reusable). Moreover, the OCES implements practical and user-friendly mechanisms of intra- and cross-domain interoperability focusing.
More Details on: EU-Portal, Project-Website, LinkedIn
Project Details
- BCAI Topics: AI Methods for Semantic Digital Twins, Ontologies, and Knowledge Graphs
- Project duration: 01/11/2020 to 31/10/2023
- Funding program: This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 958371
- Project partners:
Contact at BCAI
DOME 4.0
Digital Open Marketplace Ecosystem (DOME) 4.0
DOME 4.0 aims at an intelligent semantic industrial data ecosystem for knowledge creation across the entire materials to manufacturing value chains. The ecosystem provides a sustainable solution to the information silos problem related to the past efforts and puts forward a formal, ontology-based documentation for open and confidential data spaces applicable to future and current projects thereby delivering added value.
More Details on: EU-Portal, Project-Website, LinkedIn
Project Details
- BCAI Topics: AI Methods for Semantic Digital Twins, Ontologies, and Knowledge Graphs
- Project duration: 01/12/2020 to 30/11/2024
- Funding program: This project has received funding from the European Union’s Horizon 2020 research and Innovation Programme under Grant Agreement No. 953163.
Contact at BCAI
DataCloud
The overall vision of the DataCloud project is the creation of a novel paradigm for Big Data pipeline processing over heterogeneous resources encompassing the Computing Continuum, covering the complete lifecycle of managing Big Data pipelines.
More Details on: EU-Portal, Project-Website, Twitter
Project Details
- BCAI Topics: AI Methods for Semantic Digital Twins, Ontologies, and Knowledge Graphs, Scalable Semantic Data Analytics
- Project duration: 01/01/2021 to 31/12/2023
- Funding program: This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101016835
- Project partners:
Contact at BCAI
KITOS
The overall goal is to provide industrial networks with the necessary dynamics and methods for self-healing and self-optimization in order to generate the necessary agility and reliability that future production processes in Industry 4.0 require. TSN is used as the basis for networking. Kl algorithms are developed which support configuration tools in decision making in order to achieve a more efficient use of resources as well as higher performance configurations. For active operation, the network management is hardened against failures by means of Kl supported error detection and adaptation mechanisms.
More Details on: BMBF-Website
Project Details
- BCAI Topics: Automated design of optimization algorithms, Sensors & Networks
- Project duration: 04/01/2020 - 05/31/2023
- Funding program: This project has received funding from the Federal Ministry of Education and Research (BMBF)
- Project partners:
Contact at BCAI
DARPA-GARD
Despite their incredible success in many computer vision tasks, deep neural networks are known to be sensitive to adversarial attacks; small perturbations to an input image can lead to large changes in the output. The goal of this project is to find defense methods that provides guaranteed performance against adversarial attack.
Find more details on the Project-Website
Project Details
- BCAI Topics: robust and safe AI
- Project duration: 5 years
- Funding program: This project has received funding from DARPA (US government agency)
- Project partners: Carnegie Melon University
Contact at BCAI
KI-Embedded
The goal of KI-Embedded is to develop, model and control drive systems based on AI technology. One focus here is the efficient implementation of the developed AI models and processes on embedded systems for onboard applications of future vehicles. The methods are to be developed exemplarily using two application examples (smart monitoring with AI-based virtual sensors and model-based control of the fuel cell stack) and both the short-term and the long-term potential of the research project are to be demonstrated.
Project Details
- BCAI Topics: AI methods for data acquisition, modeling, and validation with focus on application on embedded systems
- Project duration: 01.09.2021 – 30.06.2024
- Funding program: „Neue Fahrzeug- und Systemtechnologien“ - funding program BMWi (Federal Ministry of Economics and Technology)
- Project partners: Robert Bosch GmbH, Institut für Automatisierungstechnik und, Mechatronik (IAT), TU Darmstadt, Institut für Automatisierungstechnik (IFAT), OvGU Magdeburg, Fraunhofer ISE, OFFIS e.V. – Institut für Informatik, itemis AG, PLS Programmierbare Logik & Systeme GmbH