Ruslan "Russ" Salakhutdinov (russian: Руслан Салахутдинов) is a Canadian researcher of
Tatar
The Tatars ()[Tatar]
in the Collins English Dictionary is an umbrella term for different origin working in the field of
artificial intelligence
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by animals and humans. Example tasks in which this is done include speech ...
.
He specializes in
deep learning
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.
...
,
probabilistic graphical model
A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables. They are commonly used in probability ...
s, and large-scale optimization.
Life
Salakhutdinov's doctoral advisor was
Geoffrey Hinton
Geoffrey Everest Hinton One or more of the preceding sentences incorporates text from the royalsociety.org website where: (born 6 December 1947) is a British-Canadian cognitive psychologist and computer scientist, most noted for his work on a ...
.
Salakhutdinov was considering quitting the field of artificial intelligence when he met Hinton in 2014, but changed his mind after Hinton asked him to take part in a project focused on a new way to train
artificial neural network
Artificial neural networks (ANNs), usually simply called neural networks (NNs) or neural nets, are computing systems inspired by the biological neural networks that constitute animal brains.
An ANN is based on a collection of connected unit ...
s, which he dubbed "deep belief networks." This research made a large impact on the field of
deep learning
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.
...
.
He received his PhD in 2009.
He is well known for having developed Bayesian Program Learning.
Career
Salakhutdinov is a professor of computer science at
Carnegie Mellon University
Carnegie Mellon University (CMU) is a private research university in Pittsburgh, Pennsylvania. One of its predecessors was established in 1900 by Andrew Carnegie as the Carnegie Technical Schools; it became the Carnegie Institute of Technology ...
.
Since 2009, he has published at least 42 papers on machine learning.
His research has been funded by Google, Microsoft and Samsung. In 2016, Salakhutdinov joined
Apple
An apple is an edible fruit produced by an apple tree (''Malus domestica''). Apple trees are cultivated worldwide and are the most widely grown species in the genus '' Malus''. The tree originated in Central Asia, where its wild ancest ...
as its director of AI research.
Awards
He is a
CIFAR
The Canadian Institute for Advanced Research (CIFAR) is a Canadian-based global research organization that brings together teams of top researchers from around the world to address important and complex questions. It was founded in 1982 and is s ...
fellow.
References
External links
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{{DEFAULTSORT:Salakhutdinov, Russ
Year of birth missing (living people)
Living people
Canadian computer scientists
Carnegie Mellon University faculty