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  • Digital reality: a model-based approach to supervised learning from synthetic data
    AI Perspect. Pub Date : 2019-09-03
    Tim Dahmen; Patrick Trampert; Faysal Boughorbel; Janis Sprenger; Matthias Klusch; Klaus Fischer; Christian Kübel; Philipp Slusallek

    Hierarchical neural networks with large numbers of layers are the state of the art for most computer vision problems including image classification, multi-object detection and semantic segmentation. While the computational demands of training such deep networks can be addressed using specialized hardware, the availability of training data in sufficient quantity and quality remains a limiting factor

    更新日期:2019-09-03
  • Responsible AI: requirements and challenges
    AI Perspect. Pub Date : 2019-09-03
    Malik Ghallab

    This position paper discusses the requirements and challenges for responsible AI with respect to two interdependent objectives: (i) how to foster research and development efforts toward socially beneficial applications, and (ii) how to take into account and mitigate the human and social risks of AI systems.

    更新日期:2019-09-03
  • AI-Perspectives: an editorial
    AI Perspect. Pub Date : 2019-09-03
    Frank Kirchner

    In this journal we will have to discuss the many challenges and applications that AI in the time of increasing -computational- resources can achieve, how can it be applied and what the consequences of its application are. We will have to discuss about the feedback to basic AI research that is provided by the application of an AI-algorithm or concept to a given and real problem. Furthermore, we will

    更新日期:2019-09-03
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