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  2. Deep Learning Super Sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    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.

  3. Category:Data Design Interactive games - Wikipedia

    en.wikipedia.org/wiki/Category:Data_Design...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

  4. Machine learning in video games - Wikipedia

    en.wikipedia.org/.../Machine_learning_in_video_games

    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]

  5. Deep Learning Anti-Aliasing - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_anti-aliasing

    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 ...

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    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]

  7. Kinect Fun Labs - Wikipedia

    en.wikipedia.org/wiki/Kinect_Fun_Labs

    The first game in the Fun Labs range is Bobble Head. In Bobble Head, the player can put little fun costumes on their friends and collect them all in little bobble heads. The second game is Avatar Kinect. In Avatar Kinect, the players' avatar can act and it tracks their mouth so their lips will move.

  8. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    This data is not pre-processed List of GitHub repositories of the project: Build Lab Team This data is not pre-processed List of GitHub repositories of the project: Terraform IBM Modules This data is not pre-processed List of GitHub repositories of the project: Cloud Schematics This data is not pre-processed List of GitHub repositories of the ...

  9. Brain Age: Train Your Brain in Minutes a Day! - Wikipedia

    en.wikipedia.org/wiki/Brain_Age:_Train_Your_Brain...

    If the player answered that they can speak, the game begins with a Stroop test; if the player cannot use the microphone, the game picks a random puzzle from the following: Calculations X 20, Word Memory, Connect Maze, and Number Cruncher. During the Stroop Test, the game will display one of four words and colors: blue, black, yellow, and red ...