| Abstract: |
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We are experiencing an unprecedented increase of the volume of data. Next to structured data, that originates from sensors, experiments and simulations, unstructured data in the form of text images or video poses great challenges for computing systems. Cognitive computing targets at extracting knowledge from all kinds of data sources and applies powerful big data and analytics algorithms to help decision making and to create value. In this context, large scale machine learning, Deep Learning and pattern recognition hold central role. Advances in algorithms as well as in computing architectures are much in need in order to achieve the full potential of cognitive computing. We will discuss changing computing paradigms and algorithmic frontiers and we will provide practical examples from recent state of the art cognitive solutions in key areas such as novel materials design. |
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