Top video game dev nerve-center Unity can now be used to train AI • The Register

Top video game dev nerve-center Unity can now be used to train #AI  #gamedev

  • Unity, the most popular cross-platform game engine favored by video game developers, on Tuesday opened up its platform for machine learning researchers to test their algorithms.
  • Reinforcement learning is a strand of machine learning that teaches agents to perform a specific task in a given environment.
  • The platform, known as Unity Machine Learning Agents, includes additional features like the Agent Monitor class, which allows researchers to better understand how agents make decisions so that mistakes are easier to debug.
  • Since Unity Engine and Editor are geared toward game development, it also makes it easier for machine learning researchers to construct scenarios or even create full games to use as testbeds for their reinforcement learning algorithms.
  • But there is a slight tradeoff for having prettier graphics and more complex environments – it makes it more difficult for the algorithms to comprehend the play field, and requires more processing power from accelerators such as GPUs, so it’ll be more expensive to train agents.

Unity, the most popular cross-platform game engine favored by video game developers, on Tuesday opened up its platform for machine learning researchers to test their algorithms.
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Facebook open sources Caffe2, its flexible deep learning framework of choice

Facebook open sources Caffe2, its flexible deep learning framework of choice  #F82017

  • Today Facebook open sourced Caffe2.
  • Back in October, Facebook announced Caffe2Go, what effectively was a mobile CPU and GPU optimized version of Caffe2 (they even both have Caffe2 in their names if you parse it right).
  • Today’s release accompanies partnerships at the hardware, device and cloud levels.
  • Prior to release, Caffe2 was deployed at scale across Facebook.
  • Caffe models can be easily converted to Caffe2 models with a utility script.

Today Facebook open sourced Caffe2. The deep learning framework follows in the steps of the original Caffe, a project started at the University of California,..
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