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Synthetaic secures $3.5m to train AI with synthetic data

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Synthetaic a startup that is working to create data to train artificial intelligence, annoucd it has raised $3.5 million funding led by Lupa Systems, with participation from Betaworks Ventures and TitletownTech (a partnership between Microsoft and the Green Bay Packers).

Synthetaicapproach combines the work of 3D artists and modelers with technology based on generative adversarial networks, making it far more affordable and scalable, according to Jaskolski.

To illustrate the “interplay” between the two halves of Synthetaic’s model, he returned to the example of identifying poachers — the startup’s 3D team could create photorealistic models of an AK-47 (and other weapons), then use adversarial networks to generate hundreds of thousands of images or more showing that model against different backgrounds.

The startup also validates its results after an AI has been trained on Synthetaic’s synthesized images, by testing that AI on real data.

For Synthetaic’s initial projects, Jaskolski said he wanted to partner with organizations doing work that makes the world a better place, including Save the Elephants (which is using the technology to track animal populations) and the University of Michigan (which is developing an AI that can identify different types of brain tumors).

Jaskolski added that Synthetaic customers don’t need any AI expertise of their own, because the company provides an “end-to-end” solution.

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