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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.
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In addition to NVIDIA's official list of titles, there is an independently developed stereoscopic 3D games database that is put together by end users. Featuring a rules based certification grade and numeric Quality Assurance score, GameGrade3D (GG3D) details required game settings and expected visual anomalies (if any).
Decima is a proprietary game engine made by Guerrilla Games and released in November 2013, that includes tools and features like artificial intelligence and game physics.It is compatible with 4K resolution and high-dynamic-range imaging, used for games on PlayStation 4, PlayStation 5, Microsoft Windows, macOS, iOS, iPadOS and Xbox Series X/S.
The College of Computing, Data Science, and Society is the newest of the 15 colleges [1] at the University of California, Berkeley and has three academic majors: Computer Science, Data Science, and Statistics. [2] [3] The college was established in 2023. The 2023–24 academic year will be the first academic year for the college. [4]
Machine learning agents are often not covered in many game design courses. Previous use of machine learning agents in games may not have been very practical, as even the 2015 version of AlphaGo took hundreds of CPUs and GPUs to train to a strong level. [2]
Pages in category "Science educational video games" The following 22 pages are in this category, out of 22 total. This list may not reflect recent changes.
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 ...