How Julia ODE Solve Compile Time Was Reduced From 30 Seconds to 0.1 We did it. We got control of our compile times in a large-scale >100,000 line of code Julia library. The end result looks like: However, the most important thing is the friends we made along the way. In this blog post we will go through a step-by-step explanation of the challenges to compile times, ways to understand and debug com
I'm Martin Anderson, a writer occupied exclusively with machine learning, artificial intelligence, big data, and closely-related topics, with an emphasis on image synthesis, computer vision, and NLP. It’s nearly five years since the advent of deepfakes released into the public realm the ability to alter people’s facial identities; at first, in recorded video, and now even as a streaming implementa
OriginalMarkedMotherboard Showing revision 'GH-001' from model SCPH-10000 only released in Japan. Thanks to the donations received, I was able to purchase this model and take a proper photo to allow me to identify most of the chips. I presume the chip at the bottom right corner is the 4 MB BIOS ROMMotherboard with important parts labelled A quick introductionThe PlayStation 2 was not one of the mo
Private information retrieval using homomorphic encryption (explained from scratch) September 18, 2022 · 28 minutes This is a from-scratch explanation of private information retrieval built using homomorphic encryption. I try to assume only a general math / computer science background. To simplify things, my explanations may not always match academic definitions. You can check out this password br
Apple’s latest line of Macs includes their in-house “M1” system-on-chip, featuring a custom GPU. This poses a problem for those of us in the Asahi Linux project who wish to run Linux on our devices, as this custom Apple GPU has neither public documentation nor open source drivers. Some speculate it might descend from PowerVR GPUs, as used in older iPhones, while others believe the GPU to be comple
Natural and expressive human motion generation is the holy grail of computer animation. It is a challenging task, due to the diversity of possible motion, human perceptual sensitivity to it, and the difficulty of accurately describing it. Therefore, current generative solutions are either low-quality or limited in expressiveness. Diffusion models, which have already shown remarkable generative cap
Date: July 11, 2021 | Estimated Reading Time: 32 min | Author: Lilian Weng [Updated on 2021-09-19: Highly recommend this blog post on score-based generative modeling by Yang Song (author of several key papers in the references)]. [Updated on 2022-08-27: Added classifier-free guidance, GLIDE, unCLIP and Imagen. [Updated on 2022-08-31: Added latent diffusion model. [Updated on 2024-04-13: Added prog
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