Russ Salakhutdinov

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Ruslan "Russ" Salakhutdinov

Ruslan "Russ" Salakhutdinov is a Canadian researcher working in the field of artificial intelligence.

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

Life[edit]

His doctoral advisor was Geoff Hinton.[2]

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

Career[edit]

He is a professor of computer science at the Carnegie Mellon University.[3]

Since 2009, he's published at least 42 papers on machine learning.[4]

His research has been funded by Google, Microsoft and Samsung.[5]

In 2016, he joined Apple as its director of AI research.[1]

Awards[edit]

He is a CIFAR fellow.[6]

References[edit]

  1. ^ a b "Apple's latest hire could signal a big shift in the company's approach to AI". Retrieved 18 May 2017.
  2. ^ a b http://helldesign.net. "When machines learn like humans - KurzweilAI". www.kurzweilai.net. Retrieved 18 May 2017.
  3. ^ Times, Tech (18 October 2016). "Apple Taps Carnegie Mellon AI Expert Ruslan Salakhutdinov: Siri Getting Beefed Up?". Retrieved 18 May 2017.
  4. ^ "Apple hires its first director of AI research". Retrieved 18 May 2017.
  5. ^ "Apple Hires Carnegie Mellon AI Academic to Push Machine Learning". 17 October 2016. Retrieved 18 May 2017 – via www.bloomberg.com.
  6. ^ "Deep learning: Changing the playing field of artificial intelligence - MaRS". Retrieved 18 May 2017.

External links[edit]