Cognitive Computing

  • AI Experts

    This is a research line that agregates all AI research done at the four scientific departments at BSC. If you need a contact point Earth: Amanda Duarte CASE: Fernando Cucchietti Computer Science: Dario Garcia Life: Alba Jene  

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  • Applied Learning Methods

    This research line explores the use of Learning Techniques to different domains, from data center optimization to cancer genomics, leveraging different techniques from statistical Machine Learning to state of the art Deep Learning and Neural Networks, and different programming frameworks.

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  • Deep-Learning and HPC

    Deep Learning methods and scalability by using Supercomputing platforms.

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  • Industrial artificial intelligence and digital twins

    We work on applying algorithmic tools to analize and study large volumes of data, extracting knowledge from complex sources, and helping make informed decisions in industrial settings.

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  • Neural networks for data-streams

    Hoeffding Trees are an established method for classification; at the same time, gradient descent methods are becoming increasingly popular, owing in part to the successes of deep learning. We are investigating the benefits of using GPUs for data-stream learning due to their high scalability.

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  • Supercomputing for Artificial Intelligence

    Supercomputing for Artificial Intelligence

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