Large Scale Artificial Intelligence Professors in Global

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Iadh Ounis
University of Glasgow United Kingdom
big data information retrieval
machine learning
deep learning
efficient architectures for large-scale information retrieval systems
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Stefan Adams
University of Warwick United Kingdom
multi-scale systems
large deviation theory
machine learning
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
stochastic algorithms
deep learning
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
stochastic algorithms
deep learning
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Aboelmagd Noureldin
Queen's University Canada
machine intelligence
deep learning
machine vision
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Nanwei Wang
University of New Brunswick Canada
high-dimensional data
machine learning
large deviations theory
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Alessio Gagliardi
Technical University of Munich Germany
multiscale modeling
machine learning
deep learning
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Emilia Olsson
University of Amsterdam Netherlands
multiscale modelling
machine learning
atomic scale prediction
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Qifan Song
Purdue University United States of America
massive data modeling
high dimensional data
machine learning
deep learning
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Tong Zhang
University of Illinois United States of America
machine learning
generative artificial intelligence
deep learning
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Pouria Rouzrokh
Yale University United States of America
artificial intelligence
big data
machine learning
generative artificial intelligence
deep learning
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Pawel Herman
KTH Royal Institute of Technology Sweden
machine learning
deep architectures
artificial neural networks
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Shaon Shuvo
University of Windsor Canada
machine learning
deep learning
artificial intelligence-based decision support systems
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
large language models
machine learning
deep learning
statistical machine learning
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Igor Pivkin
Università della Svizzera italiana Switzerland
parallel large-scale simulations
multiscale modeling
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Alexandre Bayen
University of California, Berkeley United States of America
large-scale infrastructure systems
machine learning
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Katarina Grolinger
Western University Canada
big data processing
machine learning
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Yanrong Yang
Australian National University Australia
large dimensional random matrix theory
large panel data analysis
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Azad Madni
University of Southern California United States of America
augmented intelligence
machine learning
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Simon Ruffieux
University of Fribourg Switzerland
augmented intelligence
machine learning
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Akhilesh Reddy
University of Pennsylvania United States of America
machine intelligence
deep learning
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