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:
(from Q3 2019 earnings call)
Yeah I think Tesla just needs more engineers after the layoffs. Rumors is their whole autopilot team is < 200. Vs 1500 for Waymo/Cruise/Uber.
According to Amir Efrati’s reporting at The Information, the Autopilot division is around 200 people (including both hardware and software) and 11 people were fired or quit during Elon’s “shakeup”.