Artificial Language Learning Professors in Global

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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
deep learning
large language models
statistical machine learning
representation learning
speech processing
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Guang Cheng
University of California Los Angeles United States of America
deep learning theory
statistical machine learning
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John Oommen
Carleton University Canada
artificial intelligence
stochastic learning
pattern recognition
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Mette-marie Svendsen
Aarhus University Denmark
language technology
data linguistics
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Rebekah Baglini
Aarhus University Denmark
machine learning
language technology
data linguistics
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Kawin Ethayarajh
University of Chicago Booth School of Business United States of America
behavioral machine learning
applied ai
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Richard Aslin
Yale University United States of America
spoken word recognition
statistical learning
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Kalinda Ukanwa
University of Southern California United States of America
artificial intelligence
algorithmic decision-making
algorithmic bias
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Marzyeh Ghassemi
Massachusetts Institute of Technology United States of America
behavioral machine learning
representation learning
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Marzyeh Ghassemi
Massachusetts Institute of Technology United States of America
behavioral machine learning
representation learning
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Nathalie Loye
University of Montreal Canada
artificial intelligence in education
statistical learning
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
deep learning theory
probabilistic machine learning
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Alessandro Bozzon
Delft University of Technology Netherlands
ai-driven systems
ai systems
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Shamya Karumbaiah
University of Wisconsin–Madison United States of America
teaching and learning with artificial intelligence
bias in ai-based learning systems
human-centered ai
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Ali Al-laith
University of Copenhagen Denmark
computational models for language processing
language engineering
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Shai Ben-david
University of Waterloo Canada
statistical machine learning
computational machine learning
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Honglak Lee
University of Michigan United States of America
artificial intelligence
machine learning
deep learning
large-scale learning
representation learning
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Rune Hagel Jensen
Aalborg University Denmark
artificial intelligence in education
digital learning
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Amy Gullickson
University of Melbourne Australia
artificial intelligence in education
digital learning
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Kin-choong Yow
University of Regina Canada
artificial intelligence
artificial general intelligence
machine learning
deep learning
artificial consciousness
pattern recognition
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Aboelmagd Noureldin
Queen's University Canada
deep learning
machine intelligence
machine vision
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