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themes [2016/10/11 11:23] philippereneviergonin [Knowledge Extraction and Learning] |
themes [2019/11/13 17:03] philippereneviergonin |
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- | The SPARKS team is composed by 3 Themes. | + | The SPARKS team is composed by 4 Themes. |
===== Knowledge Extraction and Learning ===== | ===== Knowledge Extraction and Learning ===== | ||
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+ | ===== Computer Science and Biology ===== | ||
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+ | Computer science finds in biology an inexhaustible source of new problems and a remarkable field of inspiration. On the one hand, computer science is necessary for pushing forwards the knowledge frontiers in biology using, e.g., ontologies, data mining, knowledge extraction, modelling and simulation of dynamic biological systems, formal proofs about the behaviour of biological systems and more generally model-based reasoning assisted by computers. On the other hand, there are countless bio-inspired techniques that have made major research contributions, as neuroscience-inspired and genetics-inspired learning techniques. | ||
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+ | SPARKS has a long standing experience in data management, model design, model simulation and formal reasoning for biology as well as in bio-inspired learning techniques. | ||
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+ | More details about : | ||
+ | * [[https://msn.i3s.unice.fr/|Unordered List Itemabout models and simulations for neurosciences]] | ||
+ | * [[https://bioinfo.i3s.unice.fr/en/index.php|formal methods for biology]] |