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Vocabulary at the Living–Machine Interface: A Narrative Review of Shared Lexicon for Hybrid AI [PDF]
BiomimeticsThe rapid rise of bio-hybrid robots and hybrid human–AI systems has triggered an explosion of terminology that inhibits clarity and progress. To investigate how terms are defined, we conduct a narrative scoping review and concept analysis.
Andrew Prahl, Yan Li
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Royal Society Open Science, 2023 Predictions for physical systems often rely upon knowledge acquired from ensembles of entities, e.g. ensembles of cells in biological sciences. For qualitative and quantitative analysis, these ensembles are simulated with parametric families of ...
Timothy Rumbell +3 more
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A microservice architecture for leak localization in water distribution networks using hybrid AI
Journal of Hydroinformatics, 2023 Up to 30% of all drinking water is wasted due to leaks in water distribution networks (WDNs). In times of drought and water shortage, wasting so much drinking water has a considerable environmental and financial cost.
Ganjour Mazaev +10 more
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Computers and Education: Artificial Intelligence, 2022 Hybrid systems combining artificial and human intelligence hold great promise for training human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and illustrate this with an example of a first prototype of a Hybrid Human-AI ...
Inge Molenaar
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Potentials and caveats of AI in hybrid imaging
Methods, 2021 State-of-the-art patient management frequently mandates the investigation of both anatomy and physiology of the patients. Hybrid imaging modalities such as the PET/MRI, PET/CT and SPECT/CT have the ability to provide both structural and functional information of the investigated tissues in a single examination.
Sundar, Lalith Kumar Shiyam +4 more
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Enhancing Student Engagement: Harnessing “AIED”’s Power in Hybrid Education—A Review Analysis
Education Sciences, 2023 Hybrid learning is a complex combination of face-to-face and online learning. This model combines the use of multimedia materials with traditional classroom work. Virtual hybrid learning is employed alongside face-to-face methods.
Amjad Almusaed +3 more
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Disentangling Human-AI Hybrids.
Bus. Inf. Syst. Eng., 2023 Artificial intelligence (AI) offers great potential in organizations. The path to achieving this potential will involve human-AI interworking, as has been confirmed by numerous studies. However, it remains to be explored which direction this interworking of human agents and AI-enabled systems ought to take.
Fabri, Lukas +4 more
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Composing Complex and Hybrid AI Solutions
CoRR, 2022 Progress in several areas of computer science has been enabled by comfortable and efficient means of experimentation, clear interfaces, and interchangable components, for example using OpenCV for computer vision or ROS for robotics. We describe an extension of the Acumos system towards enabling the above features for general AI applications. Originally,
Schüller, Peter +7 more
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AI-Enhanced Hybrid Decision Management
Business & Information Systems Engineering, 2023 AbstractThe Decision Model and Notation (DMN) modeling language allows the precise specification of business decisions and business rules. DMN is readily understandable by business users involved in decision management. However, as the models get complex, the cognitive abilities of humans threaten manual maintainability and comprehensibility.
Dominik Bork +2 more
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AI-Empowered Hybrid MIMO Beamforming
CoRR, 2023 Hybrid multiple-input multiple-output (MIMO) is an attractive technology for realizing extreme massive MIMO systems envisioned for future wireless communications in a scalable and power-efficient manner. However, the fact that hybrid MIMO systems implement part of their beamforming in analog and part in digital makes the optimization of their ...
Nir Shlezinger +5 more
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