Ruslan Salakhutdinov (Russian: Руслан Салахутдинов; born c. 1980) is a Canadian researcher of Tatar origin working in the field of artificial intelligence.
Ruslan Salakhutdinov | |
---|---|
Born | c. 1980 (age 43–44) |
Alma mater | University of Toronto |
Scientific career | |
Fields | Computer science Artificial intelligence |
Institutions | Carnegie Mellon University |
Thesis | Learning deep generative models (2009) |
Doctoral advisor | Geoffrey Hinton |
He specializes in deep learning, probabilistic graphical models, and large-scale optimization.[1]
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]
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]
His research has been funded by Google, Microsoft and Samsung.[7] In 2016, Salakhutdinov joined Apple as its director of AI research.[1][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]