Intel's Level Up 2014 Contest offers not only cash prizes but also the chance of commercial distribution of your game on the Steam platform. The deadline is June 2 so there's still time to enter.
Intel first ran a game demo contest in 2009. In 2011 it began to be called Level Up and Steam became involved last year making all Level Up 2013's winning entries available for download on Steam.
This year the Grand Prize Winner will not only get their game demo included on the Steam Demos page they will also get the opportunity to turn their game demo into a full playable game title and sign a Steam online gaming platform commercial distribution contract.
The challenge for 2014, which is already underway, is to produce a game that takes advantage of the touch screen and convertible features of Windows 2 in 1 devices - such as the Ultrabook.
According to Intel's Mitchell Lunn the judges will be looking for
"games that adapt the hardware to provide the gamer with both an immersive PC experience as well as an intuitive tablet experience".
While entries must install and run on a 2 in 1 PC with Windows 8.1, 64-bit operating system, Lunn points out that not having such a devices should not prevent you from entering one of the craft categories:
Best Art Design
Best Game with 3D Graphics
Best Character Design
Best Use of Game Physics
The winner of each of these will receive $3,000 cash prize as well as inclusion on Steam.
There are also $3,000 prizes for each of five genres:
Best Puzzle/Physics Game
Best Platformer Game
Best Adventure / Role Playing
Best Action Game
Best Game – “Open Genre” (game demo that does not fit into above 4 genres)
The top prize cash prize for Game of the Year is $5,000 and participants can submit multiple game demos.
The competition is open to over 18-year olds or younger contestants with the consent of parents or legal guardian. Entries have to be in English and are only accepted from specified countries. So check the official rules before you register with the Intel Developer Zone to take part.
The only real problem with the previous release of Google's TensorFlow was that it would only work on one computer. Training neural networks is computationally intensive so the good news is that the l [ ... ]