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Discover the latest advances in deep learning from leading innovators in the field, and explored how smart artificial intelligence will impact business & society in the future. Topics explored include: deep learning at scale and at ease; reasoning with deep learning; deep learning for the travel industry; exploring mobile architectures for scalable machine learning; and emotion recognition through embedded vision using deep learning.
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Today’s advanced deep neural networks use algorithms, big data, and the computational power of the GPU to learn at high speed, accuracy and scale that are driving true artificial intelligence. Deep learning is used by research community and industry to help solve many big data problems such as computer vision,...
Human decisions and actions are driven by emotions, more than we realize. Facial expressions reveal many of these emotions. In this talk, I will present the techniques we developed for facial expression analysis. Our main objective is fine-grained detailed emotional profiling in real-world conditions. Contrary to existing approaches, we avoid...
The ensemble approach to predict chronological age has been previously explored in East European populations. The best performing deep neural net demonstrated 81.5% accuracy with a MAE of 6.07 years. We set out to explore if there are common predictors of age in Asian blood biochemistry markers. We have collected...
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