I am considering creating a reinforcement library for raylib similar to Unity ML Agents, but better. Source: over 1 year ago

Unity can build a stand-alone application or be used as a library. Javascript is deprecated, and Boo along with it although it was never really supported to begin with. Various types of machine learning are supported through the ML-Agent Toolkit and pretty well documented. The toolkit has a Python API but you should be careful about doing anything too unusual in Unity because the documentation tends to have a lot... Source: about 2 years ago

"ML-agents" is a interface between unity as a physics simulation environment and a predefined pytorch project for AI training. Transform values (position, rotation etc) and image buffers are exchanged as training input. When finished, you can load the model directly in unity for inference -> "execution" -> no need for python code anymore. Https://unity.com/products/machine-learning-agents. Source: about 2 years ago

Does Unreal offer a better support than Unity regarding Machine Learning? Unity offers ML Agents, is there anything similar on UE 5.1? ( https://unity.com/products/machine-learning-agents ). Source: about 2 years ago

Unity has collaborated with OpenAI a few times now. https://unity.com/products/machine-learning-agents that is the place to start. There are also a lot of articles online on how to use neural networks with Unity. Source: over 2 years ago

Photo by julien Tromeur on Unsplash We are in a golden age of AI, with cutting-edge models disrupting industries and poised to transform life as we know it. Powering these advancements are increasingly powerful AI accelerators, such as NVIDIA H100 GPUs, Google Cloud TPUs, AWS's Trainium and Inferentia chips, and more. With the growing number of options comes the challenge of selecting the most optimal... - Source: dev.to / 6 months ago

According to https://cloud.google.com/tpu, each individual TPUv3 has 420 Teraflops, and TPUv4 is supposed to double that performance, so if that guess is correct, it should take a few seconds to do inference. Quite impressive really. - Source: Hacker News / about 3 years ago

You can also rent a cloud TPU-v4 pod (https://cloud.google.com/tpu) which 4096 TPUv-4 chips with fast interconnect, amounting to around 1.1 exaflops of compute. It won't be cheap though (excess of 20M$/year I believe). - Source: Hacker News / over 3 years ago

Actually, that's done with TPUs which are more efficient: https://cloud.google.com/tpu. Source: almost 4 years ago

TPU training uses Google silicon and is thus a true deep learning alternative to Nvidia. Source: almost 4 years ago