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 Technology Gaps Analysis 1 Result description Methodical analysis of potential accessibility support and gaps in currently evolving and future emerging technologies including mobile and wearables immersive environments Artificial Intelligence AI and
 Technology Gaps Analysis 2 Result description Methodical analysis of potential accessibility support and gaps in currently evolving and future emerging technologies including mobile and wearables immersive environments Artificial Intelligence AI and
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Description and “Human-in-the-loop decision making: Integrated governance to ensure meaningful oversight” that cut across 6 use cases: health, autonomous driving, robotics, cybersecurity, multi-media, and document intelligence
 Periodic Reporting for period 1 - ELSA (European Lighthouse on Secure and Safe AI) Result description ELSA, a virtual center of excellence, leads foundational research in safe and secure artificial intelligence (AI) methodology.
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 Inclusive Digital Storytelling: Artificial Intelligence and Augmented Reality to Re-centre Stories from the Margins Result title Inclusive Digital Storytelling: Artificial Intelligence and Augmented Reality to Re-centre Stories from the Margins
 Leveraging Commonsense for Object Localisation in Partial Scenes Result description publisher: IEEE Transactions on Pattern Analysis and Machine IntelligencePublished year: 2023DOI identifier: 10.1109/tpami.2023.3272523ISSN: 1939-3539
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Description HACID develops a novel hybrid collective intelligence for decision support to professionals facing complex open-ended problems, promoting engagement, fairness and trust.
 Periodic Reporting for period 1 - HACID (Hybrid Human Artificial Collective Intelligence in Open-Ended Decision Making) Result title Periodic Reporting for period 1 - HACID (Hybrid Human Artificial Collective Intelligence in Open-Ended Decision Making) Result description HACID aims at harnessing the hybrid collective intelligence of human experts and AI systems to address open-ended problems—i.e., problems in which the solutions are not constrained to a (predefined, limited
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Description Deployment of intelligence at the edge presents many challenges because devices need to be low-cost and, as such, they are often constrained in computing capacity, memory, and energy resources.
 Periodic Reporting for period 1 - NeuroSoC (A multiprocessor system on chip with in-memory neural processing unit) Result description The explosive growth of artificial intelligence and its movement to the edge and end devices have prompted significant research on highly energy efficient and low-latency non-von Neumann computing paradigms