Computer Vision / Video Analytics

Interview with the Founder of Advanced Image Recognition Startup, Clarifai

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  • Clarifai founder and CEO Matthew Zeiler received his Ph.D. in machine learning and image recognition, and his research produced the top five results in the 2013 ImageNet classification competition.
  • Zeiler highlights that deep learning has experienced a renaissance fueled by GPUs in recent years.
  • Graphics processors perform about 30x faster than traditional CPUs for computation, enabling much more complex models to process much more data and deliver markedly better performance.
  • GPUs are also small, relatively cheap, and easy to operate without a massive data center.

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Matthew Zeiler is the founder and CEO of Clarifai, which uses machine learning and deep neural networks to develop the world’s advanced image recognition system.


Zeiler received his Ph.D. in machine learning and image recognition, and his research produced the top 5 results in the 2013 ImageNet classification competition.
In a recent interview with BigData-MadeSimple.com he highlights that GPUs are fueling the deep learning renaissance in recent years.
“For computation, graphics processors have become the “goto” computation device, performing about 30x faster than traditional computer CPUs. This was first used around 5 years ago and enabled much more complex models to process much more data, ultimately providing markedly better performance. Graphics processors also happen to be small, relatively cheap, and easy to operate without a massive data center.”
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