Nintendo uses deep learning technology for Super Mario 3D collection

The switch platform, which includes three 3D Mario series games, is transplanted by Nintendo's European based R & D staff. Recently, the development of this game was released by Nintendo. For the first time, we learned that Nintendo branch in Europe used internal NGC simulator, deep learning and other technologies.

In the special article published on Nintendo official website, the company introduced that Nintendo European R & D department used its own NGC simulator. The most difficult thing is how to use switch processor to simulate NGC, which is outdated but powerful MPU. For this reason, developers have made several optimizations to make the game run at full speed.

Nintendo uses deep learning technology for Super Mario 3D collection

In addition, Nintendo European R & D department has added new features to the “sunshine Mario” transplantation version of Super Mario 3D collection: wide screen display, handle mapping and video HD, in which the transplantation team uses deep learning technology to HD video in the game.

Nintendo uses deep learning technology for Super Mario 3D collection

Due to the high similarity between NGC and Wii hardware architecture, Nintendo European R & D department is also responsible for the simulation technology of graphics and music in the transplantation of Mario Galaxy in Super Mario 3D collection.

As the 35th anniversary of Mario series, Super Mario 3D collection will be closed by April.