TAILOR is an EU project with the aim build the capacity to provide the scientific foundations for Trustworthy AI in Europe. TAILOR develops a network of research excellence centres, leveraging and combining learning, optimisation, and reasoning. These systems are meant to provide descriptive, predictive, and prescriptive systems integrating data-driven and knowledge-based approaches.
Ideal-ist is the international Horizon Europe Cluster 4 digital National Contact Point (NCP) network, supporting research and innovation activities for the EU Framework Programmes. The network includes more than 65 partners from Member States, Associated Countries, Eastern European Partner Countries (EEPC), Mediterranean Partner Countries (MPC), and other countries throughout the world.
A new set of European projects of the Networks of Excellence Centres (NoEs) in the areas of AI, Data and Robotics (ADR) form a key element of the AI strategy pursued by EC bringing together the best researchers in Europe working on challenging AI problems.
Funded under Horizon2020 and newly Horizon Europe, these networks are providing a framework for advancing European AI research and development and its translation to real-world impact in different domains, thus comprising much of the leading AI competence across Europe.
Robotics4EU is a 3-year Horizon 2020 project driving the adoption of AI-based robots in healthcare, infrastructure, agri-food, and agile production.
INRIA, the French national institute for research in computer science and control, operating under the dual authority of the Ministry of Research and the Ministry of Industry, is dedicated to fundamental and applied research in information and communication science and technology (ICST).
MCFLY ROBOT Technologies: A producer of cobots, robot grippers, and a leading innovator in AI, robotics R&D, and automation solutions.
EIT Digital embodies the future of European innovation by mobilizing a growing multi-stakeholder innovation and education ecosystem of 350+ organizations.
SAFEXPLAIN digitizes and tailors Deep Learning solutions to the certification and qualification needs of different industrial domains to ensure the safety of these new solutions and to facilitate their uptake. The project integrates explainable Deep Learning solutions into a toolset and platform that are then tested and evaluated by the project´s automotive, rail and space case studies.
GLACIATION uses emerging digital technologies to provide services for green and privacy preserving data operations across the edge-to-cloud architecture.
GLACIATION solution develops a beyond the state-of-the-art solution that combines a Distributed Knowledge Graph and Artificial Intelligence based data operations across the edge-to-cloud architecture.
EMERALDS is a HE project developing a Mobility Analytics as a Service (MAaaS) toolset which will set itself apart by moving analytics and sensitive data analytics to edge computing (processing the data on the same devices that collect the data or nearby devices to improve response times and privacy of sensitive data).
We foster the “democratization” of decision-making in production processes, hence the participation of all involved stakeholders, by introducing a decentralized AI system. Our Democratic AI-based Decision Support System (DAI-DSS) finds democratically the appropriate decision for a concrete situation during production.
