Intel releases its 3D environment, the ‘CARLA’ simulator:
…It is said that any sufficiently large wealthy company is now keen to also own at least one bespoke AI simulator. Why? Good question!…
Intel recently released code for CARLA, a 3D simulator for testing and evaluating AI systems, like those deployed in self-driving cars.
“CARLA is an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous urban driving systems,” Intel writes.
The AI environment world right now is reminiscent of the world of programming languages a few years ago, or the dynamic and large ecosystem of supercomputer vendors a few years before that; we’re in an initial period of experimentation in which many ideas are going to be tried and it’ll be a few years yet before things shake out and a clear winner emerges. The world of AI programming frameworks is going through its own Cambrian explosion right now, though is further on in the process than 3D environments, as developers appear to be consolidating around Tensorflow and pyTorch, while dabbling in a bunch of other (sometimes complementary) frameworks, eg Caffe/Torch/CNTK/Keras/MXNet.
Question: Technical projects have emerged to help developers transfer models built in one framework into another, either via direct transfer mechanisms or through meta-abstractions like ONNX . What would be the equivalent for 3D environments beyond a set of resolution constraints and physics constants?
– Read more: CARLA: An Open Urban Driving Simulator (PDF) .
– Read more: CARLA release notes .
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27. And finally, I return to my salon to tell you about Sandy Island. It had been on maps for centuries, right off the coast of Australia, and it was believed that Captain James Cook discovered the island, which was usually drawn as a little bit bigger than Manhattan. It was such a well-known place that it even appeared on Google Earth, but in 2012, a group of marine scientists tried to go to Sandy Island and discovered that, in fact, it does not exist. Thus proving that no matter how technologically advanced we think we are, maps still aren't perfect.