plMultiple intelligences differentiate human intelligence
Machine and Human Intelligence. The Machine and Human Intelligence research group led by Assistant Professor Luigi Acerbi focuses on probabilistic machine and human learning.
We study brains and computers alike as statistical inference engines which are probabilistic, approximate, active, robust, and resource-constrained. We develop new methods for approximate Bayesian inference both as tools for artificial intelligence and as models of human intelligence.
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Please see the open positions page for more information. People Meet the team of the Machine and Human Intelligence group at the University of Helsinki and our international collaborators. If you are Research The Machine and Human Intelligence group focuses on probabilistic machine and human learning.
We are interested in smart probabilistic Publications Our research is regularly published in top-tier machine learning conferences, such as NeurIPS, and in renowned computational journals, such Resources Find here the machine learning algorithms and statistical software developed by our group, available as well-documented toolboxes.]
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