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Ruslan Salakhutdinov

Canadian AI researcher From Wikipedia, the free encyclopedia

Ruslan Salakhutdinov
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Ruslan Salakhutdinov (Russian: Руслан Салахутдинов; born c. 1980) is a Canadian researcher of Tatar origin working in the field of artificial intelligence.

Quick Facts Born, Alma mater ...

He specializes in deep learning, probabilistic graphical models, and large-scale optimization.[1]

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Life

Salakhutdinov's doctoral advisor was Geoffrey Hinton.[2] Salakhutdinov was considering quitting the field of artificial intelligence when he met Hinton in 2004, but changed his mind after Hinton asked him to take part in a project focused on a new way to train artificial neural networks, which he dubbed "deep belief networks." This research made a large impact on the field of deep learning.[3]

He received his PhD in 2009.[4]

He is well known for having developed Bayesian Program Learning.[2]

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Career

Salakhutdinov is a professor of computer science at Carnegie Mellon University.[5]

Since 2009, he has published at least 42 papers on machine learning.[6]

Salakhutdinov joined Apple as its director of AI research in 2016 but left in 2020 to return to Carnegie Mellon University.[1][7][8]

In June 2023, Salakhutdinov joined Felix Smart which is a company that uses AI to take care for plants and animals as Board Director.[9]

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Awards

He is a CIFAR fellow.[10]

References

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