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Nvidia advertised DLSS as a key feature of the GeForce 20 series cards when they launched in September 2018. [4] At that time, the results were limited to a few video games, namely Battlefield V, [5] or Metro Exodus, because the algorithm had to be trained specifically on each game on which it was applied and the results were usually not as good as simple resolution upscaling.
Pages in category "Data Design Interactive games" The following 20 pages are in this category, out of 20 total. This list may not reflect recent changes. A.
Snowdrop (also known as Ubisoft Snowdrop) is a proprietary game engine created by Massive Entertainment and Ubisoft for use on Microsoft Windows, PlayStation 4, PlayStation 5, Xbox One, Xbox Series X/S, Nintendo Switch, Stadia, and Luna. It was revealed at E3 2013 with Tom Clancy's The Division, the first game using the engine.
In each case it made use of custom tensor processing units (TPUs) that the Google programs were optimized to use. [2] AlphaZero was trained solely via self-play using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks, all in parallel, with no access to opening books or endgame tables.
Pages in category "Science educational video games" The following 22 pages are in this category, out of 22 total. ... By using this site, ...
Student researchers from Carnegie Mellon University used computer vision techniques to create an agent that could play the game using only image pixel input from the game. The students used convolutional neural network (CNN) layers to interpret incoming image data and output valid information to a recurrent neural network which was responsible ...
A VTech educational video game. An educational video game is a video game that provides learning or training value to the player. Edutainment describes an intentional merger of video games and educational software into a single product (and could therefore also comprise more serious titles sometimes described under children's learning software).
Deep Learning Anti-Aliasing (DLAA) is a form of spatial anti-aliasing created by Nvidia. [1] DLAA depends on and requires Tensor Cores available in Nvidia RTX cards. [1]DLAA is similar to Deep Learning Super Sampling (DLSS) in its anti-aliasing method, [2] with one important differentiation being that the goal of DLSS is to increase performance at the cost of image quality, [3] whereas the ...