SIH data scientist and PhD student Rafael Pôssas presented at the 2018 Conference on Computer Vision and Pattern Recognition in Salt Lake City, Utah. His work is applying reinforcement learning, convolution neural networks and reinforcement neural networks to Egocentric Activity Recognition in wearables, balancing the tradeoff between predictive accuracy and low energy usage. The technology aims to help ageing people maitain their independence for longer by helping them to track their activity.
Yesterday I presented my work at CVPR 2018. I never thought that one day I would be able to reach so many people with my work. It definitely pays off for all the effort I put in these last years. Couldnt be happier with the results and I guess now its time to celebrate right? :). I'd like to thank everyone that supported me but specially my wife for all patience and dedication in helping me with her "UX touch" in my presentation! #workhard #artificialintelligence #machinelearning #cvpr18
Also while at the conference, Rafael, Fabio and Sheila got a new GPU from NVIDIA!