In this article, I offer information about floating point representations in more detail, and answer questions such as which precision are compatible with different hardware. https://www.intel.com/content/www/us/en/developer/articles/technical/should-i-choose-fp16-or-fp32-for-my-deep-learning-model.html
I created this article because Intel offered some videos to run inference and made these free cultural works while I was there. The videos are useful and free, but sometimes, you just want to test on an image. https://www.intel.com/content/www/us/en/developer/articles/technical/extract-images-from-intel-free-culture-videos-for-inference-with-ffmpeg.html
The reason I did this write up is, just an informative piece. Maybe I should have also done one about using base64 to encode, not encrypt . https://www.intel.com/content/www/us/en/developer/articles/technical/verify-md5sum.html
I worked on the demo for American Sign Recognition. Most were good. A few were “iffy”. https://www.intel.com/content/www/us/en/developer/articles/community/american-sign-rec.html
My mother, Masayo, was on a mission in Utah working on translation of older handwritten documents the family history center in Salt Lake. She had complained some were too difficult to read. I worked on this demo to assist my mother. Honto, neh! https://www.intel.com/content/www/us/en/developer/articles/technical/japanese-rec.html
I received an email about the CFP at the upcoming SCALE the day of the deadline. So, I only submitted one talk, even though, I would much rather do a workshop. Anyway, I had time for the one. Here is the infographic about the proposed topic.
