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Columbia University’s Data Science Institute Presents:
DATA SCIENCE DAY

Authors/Collaborators are listed in alphabetical order.



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Wednesday, April 6 • 2:00pm - 4:30pm
GPU-Based Deep Learning Inference: An Application to Identyfing Diseases Based on Medical Images [P22]

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The advent of deep learning has revolutionized the field of computer vision and machine perception. Deep learning technology combines artificial neural network architectures with massive computing power to perform training and inferences. On a high level, deep learning involves a two stage process: First a neural network is trained by tuning its numeric weights based on experience - i.e. determining its parameters using labeled examples of inputs and desired output. This makes neural nets adaptive to inputs and capable of learning. Second, the network is deployed to run inferences i.e. using its previously trained parameters to classify, recognize, and generally process unknown but similar inputs.[2] GPUs massively parallel capabilities and energy efficiency makes them the state of the art in training deep neural networks as opposed to more traditional CPU based platforms.

Demo/Poster Presenter
avatar for Jeet Raut

Jeet Raut

Co-founder and CTO, Behold.ai, Inc
Jeet is the Co-founder and CEO of Behold.ai Behold.ai’s medical software uses artificial intelligence to identify abnormalities in medical images, to help healthcare practitioners rapidly, accurately and consistently make better medical decisions. Behold.ai are proud graduates of Columbia's Almaworks program, as well as the Columbia Startup Lab.  | | Jeet received his B.S. cognitive psychology at the University of Illinois at... Read More →

Demo/Poster Collaborator
avatar for Peter Njenga

Peter Njenga

Cofounder and CTO, Behold.ai, Inc
Peter is a founder of behold.ai. He's an alumnus of Columbia University and University of California at Berkeley. He Previously worked at Facebook on machine learning for place search ranking and on messaging infrastructure. He also worked at Intel and AMD on chip verification. He loves morning runs along the Hudson river.

Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (4)