Tesla is buying computer vision start-up DeepScale in a quest to create truly

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DeepScale’s goal is the development of DNNs that won’t necessarily require customization while ingesting data from each and every new sensor.

The startup claims that the team uses “mutual information from multiple sensors to maximize accuracy and resolve uncertainties.” Moreover, “Labeled training data can be reused across different sensor sets with minimal re-calibration.”

Magney sees a big plus in DeepScale’s claim of being “sensor agnostic,” and the DNN hosted on various processor platforms.


Talk by DeepScale CEO Forrest Iandola, who is now working at Tesla: