Real-Time Inferencing and Training (RTIT) with Deep LSTM
Data used for testing RTIT with our Deep LSTM, as well as additionl information on our work.
Data used for testing RTIT with our Deep LSTM, as well as additionl information on our work.
A mention of a recent press release about our network-based VR utilizing a live trained ANN which was demonstrated at Nano Tech 2020 in Tokyo
This page includes supplimentarty information for a recent arXiv paper on networked VR latency negation.
A solution for negating the effects of latency for networked interactive virtual environments with lightweight clients.
A figure showing the functions and structures involved with: creating bindings with descriptor sets for shaders and setting up vertex buffers for shaders.
Videos of our microtubule gliding assay simulation using an explicit motor model.
Showing samples of DLI certificates for workshops that I am certified to teach as a DLI University Ambassador.
This poster is an update which introduces the strengths of my VR simulation system as a research tool or and educational tool.
This post looks at methods of error checking and debugging GPU code. Primarily by creating helper functions and macros for checking for errors.
This post will look at the various ways to pass variables into functions as well reading arguments passed in when running from a command line interface.