Tesla is buying computer vision start-up DeepScale in a quest to create truly driverless cars
Tesla is acquiring computer vision startup DeepScale, CNBC has learned.
Forrest Iandola, the startup’s CEO, has joined Tesla as senior staff machine learning scientist.
DeepScale might help fill the gap left by the departure of many Autopilot engineers who allegedly left over the summer.
Tesla is acquiring DeepScale, a computer vision start-up that could help it grow completely driverless vehicles, CNBC has learned.
The deal could help Tesla’s goal to deliver cars with advanced driver-assistance systems which are good enough for owners to rent them out as”robotaxis” on an Uber-like platform without drivers. However, like all automakers, Tesla is limited by the computational tools it can build into its own vehicles.
DeepScale’s technology was designed to help automakers use low-wattage chips, which are standard in most automobiles, to power very accurate computer vision. These processors work with sensors, mapping, planning and control systems, allowing cars to make sense of what’s happening around them.
This week, DeepScale CEO Forrest Iandola combined Tesla as a senior staff machine learning scientist, according to an announcement he posted on his LinkedIn page.
Iandola simply stated,”I joined the Tesla #Autopilot team this week. I’m looking forward to working with some of the brightest minds in #deeplearning and #autonomousdriving.” Iandola acquired a PhD in electrical engineering and computer science at UC Berkeley, where he worked on heavy neural nets that could work on mobile devices with relatively tiny amounts of memory.
Two other people familiar with the deal confirmed that Tesla had purchased the company outright, but failed to disclose the precise details of the deal.