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RESEARCH & INNOVATION

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TANGO AI

TANGO aims to develop the theoretical foundations and the computational framework for synergistic human-machine decision making. The goal is to develop the enormous potential that AI holds in terms of positive impact on individuals, society and economy by establishing a symbiosis between humans and machines: people should feel they can trust the systems they interact with, in terms of reliability of their predictions and decisions, capacity of the systems to understand their needs, and guarantees that they are supporting them rather than some undisclosed third party.

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HUMAINE

HumAIne researches, develops, validates, and promotes a novel Operating System for Human-AI collaboration. This system facilitates advanced decision-making applications in dynamic, unstructured environments across various industrial sectors. By leveraging cutting-edge technologies such as Active Learning (AL), Neuro-Symbolic Learning (NL), Swarm Learning (SL), and eXplainable AI (XAI), all integrated into the HumAIne OS platform, HumAIne empowers AI solution integrators to create collaboration systems that surpass the capabilities of AI and humans working independently.

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PEER

The vision of PEER is to revolutionize the current AI systems’ design processes. PEER project will address the barriers to accepting AI in sequential decision-making problems by systematically putting the user at the center of the entire AI design, development, deployment, and evaluation pipeline prioritizing user preferences in AI-enabled decision-making scenarios. We’re developing AI solutions designed to benefit both individuals and industries, with uses case in smart cities and manufacturing. That’s the future PEER is working towards.

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AI4REALNET

AI4REALNET is transforming critical systems like electricity, railway, and air traffic management with advanced AI solutions, enhancing human capabilities. By integrating cutting-edge AI algorithms and human-in-the-loop decision making, AI4REALNET ensures transparency, safety, and resilience in network operations.

Related Partners

Check out our sister projects from our call

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Frontiers (May 2024)

Challenges and efforts in managing AI trustworthiness risks: a state of knowledge

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Natural Hazards (June 2024)

Understanding evacuation behavior for efective disaster preparedness: a hybrid machine learning approach

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IEEE (2024)

Leveraging the European Cybersecurity Skills Framework(ECSF) in EU Innovation Projects: Workforce Development Through Skilling, Upskilling, and Reskilling

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IEEE (2024)

Enhancing Cybersecurity Training Efficacy: A Comprehensive Analysis of Gamified Learning, Behavioral Strategies and Digital Twins

Published Papers

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