Tesla has unveiled its latest version of its Dojo supercomputer and it's apparently so powerful that it tripped the power grid in Palo Alto. Dojo is Tesla's own custom supercomputer platform built from the ground up for AI machine learning and more specifically for video training using the video data coming from its fleet of vehicles. The automaker already has a large NVIDIA GPU-based supercomputer that is one of the most powerful in the world, but the new Dojo custom-built computer is using chips and an entire infrastructure designed by Tesla. The custom-built supercomputer is expected to elevate Tesla's capacity to train neural nets using video data, which is critical to its computer vision technology powering its self-driving effort. Last year, at Tesla's AI Day, the company unveiled its Dojo supercomputer, but the company was still ramping up its effort at the time.

An owner of a Tesla (TSLA) Model 3 has claimed that the electric car performed so poorly using the autopilot feature that it acted like a "drunk novice driver," prompting them to sue the automaker to buy back the EV. A judge from the Darmstadt Regional Court in Germany ordered Tesla to buy back the Model 3 for $76,000 from the unhappy vehicle owner, according to Electrek. Tesla has appealed the court's decision, contending that the autopilot problems could have been relieved with a software upgrade free of charge, German news outlet Spiegel reported. The complaint, according to Spiegel, alleged that the owner of the Model 3 paid nearly $7,000 for the autopilot function, which they claimed "did not work." The plaintiff said that "The steering behavior at entrances and exits or motorway junctions is spongy and resembles that of a'drunk novice driver,'" adding that it did not recognize traffic lights and stop signs, according to Spiegel.

Tesla owners who want to tap into a self-driving feature when traveling local streets got a boost this weekend, when the electric car maker began releasing a much anticipated software update, reports say. The updates to the Full Self-Driving beta version 9 became available Saturday according to tech publication The Verge, and Electrek, a news site dedicated to reports about Tesla and other electric vehicles. The update expands assisted driving capabilities for a small pool of Tesla owners who get to try out features early, according to Electrek. Tesla's assisted driving programs have come under scrutiny in the wake of several accidents involving Teslas, including some that were in Autopilot mode. In the wake of those incidents, federal transportation officials have said Tesla has done an inadequate job of monitoring drivers to make sure they are engaged and also has permitted the Autopilot feature to be used on roads where it's not suitable.

Tesla has unveiled its new supercomputer, which is already the fifth most powerful in the world, and it's going to be the predecessor of Tesla's upcoming new Dojo supercomputer. It is being used to train the neural nets powering Tesla's Autopilot and upcoming self-driving AI. Over the last few years, Tesla has had a clear focus on computing power both inside and outside its vehicles. Inside, it needs computers powerful enough to run its self-driving software, and outside, it needs supercomputers to train its self-driving software powered by neural nets that are fed an insane amount of data coming from the fleet. CEO Elon Musk has been teasing Tesla's Dojo project, which apparently consists of a supercomputer capable of an exaFLOP, one quintillion (1018) floating-point operations per second, or 1,000 petaFLOPS – making it one of the most powerful computers in the world.

Tesla just launched the world's fifth most powerful computer responsible for neural network AI training ahead of the anticipated Dojo supercomputer debut. Tesla seemingly does not run out of new features to unveil for its followers. As the public patiently awaits the Dojo supercomputer launch, the company surprisingly unveiled another breakthrough in technology. The company launched the supercomputer to train the neural nets that power the Tesla autopilot. It is also intended for training the upcoming self-driving Artificial Intelligence, Electrek reported.

Elon Musk made the argument that Tesla is going to be known more as an artificial intelligence and robotic company. For a while now, Musk has been pushing this idea that investors shouldn't just see Tesla as an automaker and energy company, but as a group of startups. He argues that Tesla's service centers are a startup, Tesla's insurance company is a startup, Tesla's automation group is a startup, etc. In that vein, Musk now claims that artificial intelligence and robotics are going to be just as synonymous with Tesla as cars and energy. The CEO commented during a conference call discussing Tesla's Q1 2021 financial results: Although right now people think of Tesla as a car company or as an energy company. I think long term, people will think of Tesla as much as an AI robotics company as we are a car company or an energy company.

IdentiFlight's smart cameras, which spot birds of prey such as eagles and then halt wind turbines to protect the birds, can result in a large percentage reduction of bird deaths, according to a new study published last week in the Journal of Applied Ecology. The study, titled, "Eagle fatalities are reduced by automated curtailment of wind turbines," tested the efficacy of IdentiFlight's camera system, which detects flying objects, classifies them, and decides whether to curtail individual turbines to avoid potential collision, at Duke Energy's Top of the World Windpower Facility in Wyoming. They compared the number of eagle fatalities observed at Top of the World with those at a control site without IdentiFlight nine miles (15 km) away. There was an 82% reduction in the fatality rate at Top of the World relative to the control site. This technology therefore has the potential to lessen the conflict between wind energy and raptor conservation.

Tesla plans to offer machine-learning training as a web service with its new'Dojo' supercomputer, according to new comments from CEO Elon Musk. Project "Dojo" was first announced by Musk at Tesla's Autonomy Day last year: We do have a major program at Tesla which we don't have enough time to talk about today called "Dojo." 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. Dojo means "place of the Way" in Japanese and the term is often used for a place to practice meditation or martial arts. In this case, the Dojo supercomputer will be a place for Tesla to train its Full Self-Driving AI. Last month, Musk revealed that Tesla's Dojo supercomputer will be capable of an exaFLOP, one quintillion (1018) floating-point operations per second, or 1,000 petaFLOPS.

As we get closer to the start of Mustang Mach-E deliveries, Ford has released more details about the electric car's hands-free autonomous driving capability. When first launching the Mustang Mach-E, Ford confirmed that Ford Co-Pilot360 Technology with Active Drive Assist will enable hands-free driving. The technology is similar to GM's Super Cruise. It is available only on pre-mapped highways and it relies on a driver-facing camera to make sure that the driver stays attentive. Available Active Drive Assist builds upon available Intelligent Adaptive Cruise Control with Stop-and-Go Lane Centering and Speed Sign Recognition. It allows you to operate your vehicle hands-free while the driver is monitored by a driver-facing camera to make sure you're keeping your eyes on the road, with the potential for more enhancements in the future.

Tesla is already collecting large amounts of data from the vehicles owners in its Full Self-Driving beta test fleet. It is already releasing a new update improving on the release earlier this week. Connectivity has been a flagship feature of Tesla's offering in the auto industry. It not only enables several fun and useful features for customers, but Tesla has also been using the connectivity to collect data from the fleet and improve features – mainly Autopilot. When releasing an Autopilot update back in 2017, Tesla asked owners for the authorization to collect videos from the Autopilot cameras.