From the depths to the surface,
defaultUser
BackgroundTo start off, the war of sorts is versus Epic Games, along with a number of other apps under the title "Coalition for App Fairness" (CFAF). Link: appfairness.org
The opposition is, of course, Apple (and Google kind of). The CFAF is fighting for three things:
0 Comments
IntroductionNVIDIA has released an announcement on the restriction of hashing power on the RTX 3000 series cards, specifically the RTX 3060. NVIDIA said:
"Halving Hash Rate RTX 3060 software drivers are designed to detect specific attributes of the Ethereum cryptocurrency mining algorithm, and limit the hash rate, or cryptocurrency mining efficiency, by around 50 percent. That only makes sense. Our GeForce RTX GPUs introduce cutting-edge technologies — such as RTX real-time ray-tracing, DLSS AI-accelerated image upscaling technology, Reflex super-fast response rendering for the best system latency, and many more — tailored to meet the needs of gamers and those who create digital experiences." blogs.nvidia.com/blog/2021/02/18/geforce-cmp/ Now first off, I discussed why the CMP processors wont work in reducing the supply of GPUs for "gamers". Read that in my other post. I first need to clear some vocabulary for anyone not in this tech "bubble" of information. It has been about half a year since the RTX 3080 GPU launched worldwide. Ever since, the chaos of the scalping problem has ensued. There is a handful or major reasons that caused the shortage of these GPUs and, in turn, the higher and higher prices for not just the new, but used GPUs on the 2nd hand market. And of course, I will put it in the simplest and easiest to understand form. Problem #1: Increase in BuyersOverviewAs some readers may know, I have a project that is in the works called Project Lädra. This project's mission is to take a video from a camera, 2D or 3D, to identify cleanable surfaces. This is accomplished by using a neural network (imagine different neurons in your brain) to identify different objects in an image, taken from the video. Current ProgressFor the project up until this point, it has been going according to plan, with some fall back. As of now, I have the tools to put together a network together, except one: an image dataset. The only tool needed is because this network needs to be trained on, just like the neurons in your brain need to be trained how to walk and such. Grabbing a dataset is not as easy as it sounds. The ImageNet Dataset that I am going to use is only given via request or URL grabbing (taking an image's web location and copying the image to your storage) Other than that hurdle there is not that many kinks to iron out to this project. The project is eclipsing on the experimental phase, where model tests are going to be run. ConclusionProject Lädra is a bit behind course due to a hurdle in this project. After that hurdle is traversed, an experimental process can be started and the project can return to its original path of modifying variables to improve on the network.
|
Author:
|