Tesla CEO, Elon Musk, has confirmed that the Electric Vehicles (EV) maker is working on a training project in which a supercomputer named: 'DOJO' would be attached in the car to record and process huge amounts of data, aiming to enhance self driving accuracy. A neural network models itself after a human brain, which is incorporated with datasets thereby training them to process accordingly enabling to more accurate decision making and predictions. In the previous year, at the Tesla's Autonomy Day, the CEO first confirmed such an existence of a project named: DOJO. "We do have a major program at Tesla which we don't have enough time to talk about today called 'Dojo'. That's a super powerful training computer. The goal of Dojo will be to be able to take in vast amounts of data and train at a video level and do unsupervised massive training of vast amounts of video with the Dojo program - or Dojo computer." On August, the CEO twitted on the massiveness of the project and requirement for more recruits into the project.
Considering such an innovative initiative by Tesla, it would break barriers in machine learning through intensive supply of real time video data captured to perform unsupervised learning of various nooks involved while driving. With this, it could further ensure safety on auto-driving and enhanced accuracy related to various situations. Similar to how a human perceive situations, video data would feed huge amounts of data repeated on separate intervals to enable the machine to process each video images captured at various angles and detect minute details. From 2.5 dimensional to 3D enabled more autonomous driving, however from 3D to 4D, which the current DOJO project aims, would ensure more accuracy with potential interactions and predictions.Tesla is developing a NN training computer called Dojo to process truly vast amounts of video data. It’s a beast! Please consider joining our AI or computer/chip teams if this sounds interesting.
— Elon Musk (@elonmusk) August 14, 2020