9 research outputs found

    A Hierarchical Framework for Collaborative Artificial Intelligence

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    We propose a hierarchical framework for collaborative intelligent systems. This framework organizes research challenges based on the nature of the collaborative activity and the information that must be shared, with each level building on capabilities provided by lower levels. We review research paradigms at each level, with a description of classical engineering-based approaches and modern alternatives based on machine learning, illustrated with a running example using a hypothetical personal service robot. We discuss cross-cutting issues that occur at all levels, focusing on the problem of communicating and sharing comprehension, the role of explanation and the social nature of collaboration. We conclude with a summary of research challenges and a discussion of the potential for economic and societal impact provided by technologies that enhance human abilities and empower people and society through collaboration with intelligent systems

    THz Spectroscopy Using Low Temperature Mesoscopic Devices

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    The prototype of a THz spectroscopic camera based on low temperature mesoscopic devices is presented. The core of this system is an array of Quantum-Dots coupled to Quantum Point Contact sensors. Readout electronics is based on Time Domain Multiplexing combined with Lock-in technique. Results show that such system can reach the sensitivity needed to detect THz emission of materials in a fully passive way

    An Evaluation Framework for Design-Time Context-Adaptation of Process Modelling Languages

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    Part 1: Regular PapersInternational audienceTo enhance the performance and efficiency of business processes, it is essential to take the dynamics of their execution context into account during process modelling. This paper first proposes an evaluation framework that identifies the main requirements for supporting the modelling of context-adaptive processes. Using this framework, we analyse four popular business process modelling languages: Coloured Petri Nets (CPN), Business Process Modelling and Notation 2.0 (BPMN), Yet Another Workflow Language (YAWL), and Unified Modelling Language Activity Diagrams (UML AD). The analysis is carried out by evaluating how the respective language notations fulfil the identified requirements in several real-life scenarios. Lastly, a comparative analysis of the languages focussed on their support for modelling context-adaptive business processes is provided

    Listing of Protein Spectra

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