Daniel Ambrosi, Artist and Photographer, is using NVIDIA GPUs in the Amazon cloud and CUDA to create giant 2D-stitched HDR panoramas called “Dreamscapes.” Ambrosi applies a modified version of Google’s DeepDream neural net visualization code to his o
Yi-Jian Wu, Founder & CEO of Yuanqu Tech in China, talks about how NVIDIA Tesla GPUs are being used to train their interactive educational robot for children.
EASE VR Co-Founders Prithvi Kandanda, CEO and Fred Spencer, CTO share how they are using NVIDIA GPUs and real-time analytics to understand a user’s behavior in virtual environments.
Understanding the critical genetic traits of agricultural crops will help develop crops faster in order to handle the world’s population growth and climate change.
Peter Vincent of the Department of Aeronautics at Imperial College London shares how they are using NVIDIA Tesla GPUs to accelerate Computational Fluid Dynamics simulations that will improve the design processes used by companies that design aircraft
Jeroen Tromp, Professor at Princeton University shares how his team is using the Tesla GPU-accelerated Titan Supercomputer at Oak Ridge National Laboratory to image the earth’s interior on a global scale.
Brad Bebee, CEO of Blazegraph, shares how their Blazegraph GPU solution is using Tesla K40/K80 GPUs to accelerate graph queries and very large scale graph analytics.
Thor Johnsen, an HPC Expert at Chevron, talks about how they are using NVIDIA GPUs for seismic imaging and modeling of the subsurface of the earth to create detailed 3D maps used to identify locations for oil drilling.
Alexey Kamenev, Software Engineer at Microsoft Research talks about their open-source Computational Network Toolkit (CNTK) for deep learning, which describes neural networks as a series of computational steps via a directed graph.
