Search results
Results from the WOW.Com Content Network
Nvidia advertised DLSS as a key feature of the GeForce 20 series cards when they launched in September 2018. [5] At that time, the results were limited to a few video games, namely Battlefield V, [6] 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.
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.
This game was a finalist in the 2010 Indie Game Challenge and its related research paper won the Best Paper Award at the 2009 IEEE Conference on Computational Intelligence and Games. The developers use a form of neuroevolution called cgNEAT to generate new content based on each player's personal preferences. [30]
This online data science training features 55 hours of content on Excel, VBA, Python, Machine Learning, and so much more. There's 13 courses total, and by the end, you'll know a thing or two about ...
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.
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 .
Game playing was an area of research in AI from its inception. One of the first examples of AI is the computerized game of Nim made in 1951 and published in 1952. Despite being advanced technology in the year it was made, 20 years before Pong, the game took the form of a relatively small box and was able to regularly win games even against highly skilled players of the game. [1]
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]