Synthetaic raises $3.5M to train AI with synthetic data – TechCrunch

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Synthetaic is a startup working to create data -- specifically images -- that can be used to train artificial intelligence. Founder and CEO Corey Jaskolski's experience includes work with both National Geographic (where he was recently named Explorer of the Year) and a 3D media startup. In fact, he told me that his time with National Geographic made him aware of the need for more data sets in conservation. Well, Jaskolski said that he was working on a project that could automatically identify poachers and endangered animals from camera footage, and one of the major obstacles was the fact that there simply aren't enough existing images of either poachers (who don't generally appreciate being photographed) or certain endangered animals in the wild to train AI to detect them. He added that other companies are trying to create synthetic AI training data through 3D worldbuilding (in other words, "building a replica of the world that you want to have an AI learn in"), but in many cases, this approach is prohibitively expensive.

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