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GTC ON-DEMAND

Computer Vision
Presentation
Media
Bridging GPU Computing and Neuroscience to Build Large-Scale Face Recognition on Facebook.
Abstract:

Biologically-inspired computer vision algorithms - those that aim to mirror the computations performed by the brain''s visual system - have emerged as exceptionally promising candidates in object and face recognition research, achieving performance on a range of object and face recognition tasks. Recently, we have begun harnessing the newly-available power of NVIDIA GPUs to tackle the problem of biologically-inspired model selection within a largescale model search framework, drawing inspiration from high-throughput screening approaches in molecular biology and genetics where a large number of organisms are screened in parallel for a given property of interest. As the available computational power provided by massively paralleltechnology from NVIDIA continues to expand, w e hope that this research will hold great potential for new social networking applications in addition to rapidly accelerating progress in artificial vision, and for generating new, experimentally testable hypotheses for the study of biological vision.

 
Topics:
Computer Vision, Artificial Intelligence and Deep Learning, HPC and AI, Neuroscience
Type:
Talk
Event:
GTC Silicon Valley
Year:
2010
Session ID:
S102204
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