What is the experience of having a robot butler making breakfast, moving luggage, driving and even taking care of your parents for you? The science fiction movie-like imagination may be realized soon!
North American time on September 30, 2022 (October 1, Beijing time is expected to be held in Palo Alto, California. At that time, Tesla Bot, which will bring science fiction into reality, is expected to make its debut, driving the development of technology to the next era. In addition, the latest progress of Tesla's autonomous driving technology and Dojo supercomputer may also be announced on the same day, making countless car fans, technology control and special fans look forward to it.
Review of the AI Day event on August 20 last year, the release of Tesla Bot is a big big Easter egg. Tesla claims it is 1.72 meters high and weighs 56.6 kilograms. The screen on its face can display information, have human-level hands, and strong feedback sensing for balanced and agile movements. In just one year, Tesla will turn this easter egg into reality, making people sigh at its high efficiency while creating infinite expectations.
Not long ago, in an article published in China Netcom magazine, Musk wrote: "The initial positioning of Tesla robots was to replace people in repetitive and boring and dangerous work. But the long-term goal is to serve thousands of households, such as cooking, mowing lawns, taking care of the elderly, etc.."
"The height and weight of the Tesla robot is close to an adult, can carry or carry heavy objects, and can walk quickly. The screen on its face is an interactive interface for communication with people," Musk said. "You may be curious, why do we design this legged robot? Because human society is formed based on the interaction of human figures with two arms and ten fingers. Therefore, If we want a robot to adapt to the environment and be able to do what humans do, it must have the same size, shape and ability as humans. "
" said Musk: "From then, with the expansion of production scale and the decline in costs, the practicality of humanoid robots will increase year by year. In the future, a home robot may be cheaper than a car. Perhaps in less than ten years, people can buy a robot for their parents as a birthday gift."
As long as they pay attention to intelligent driving, they must be deeply impressed by the progress of Tesla's pure vision solution FSD last year, neural network autonomous driving training, D1 chip, Dojo supercomputer and other heavy information. Today, these achievements of Tesla are still at the forefront of world science and technology.
In order to achieve ultra-high computing power for artificial intelligence training, while expanding bandwidth, reducing latency and saving costs, Tesla has created the Dojo supercomputer. The single training module of the Dojo supercomputer is composed of 25 Tesla's independently developed neural network training chips - D1 chip. Since each D1 chip is seamlessly connected, the latency between adjacent chips is extremely low, the training module achieves bandwidth retention to the greatest extent, and is combined with Tesla's own high-bandwidth and low-latency connectors; in a volume of less than 1 cubic foot, the computing power is as high as 9PFLOPs (90 trillion times) and the I/O bandwidth is as high as 36TB/s.
Thanks to the independent operation ability and unlimited linking ability of the training module, the performance expansion of the Dojo supercomputer composed of it is theoretically unlimited and is an unforgettable "performance beast". In practical applications, Tesla will assemble ExaPOD with 120 training modules, which is the world's leading artificial intelligence training computer. Compared with other products in the industry, its performance is 4 times higher at the same cost, 1.3 times higher at the same energy consumption, and 5 times faster in space.
A year has passed, what has the Dojo supercomputer done for Tesla? What kind of upgrade will Tesla bring to it? Maybe the answer can be found at this AI Day event.
Since the release of Dojo supercomputer last year, the development process of Tesla FSD (full autonomous driving capability) has continued to accelerate. At this year's shareholders' meeting, Musk revealed that the research on FSD 10.13 version has been underway for some time, and Tesla has made "some very important architectural improvements", such as improving complex problems when turning left.He said that Tesla is currently deploying the FSD beta version widely in North America and will launch large-scale testing of fully autonomous driving capability (FSD) software this year. The cumulative mileage of the beta version of the software has exceeded 40 million miles, and it is expected to exceed 100 million miles by the end of the year. On September 30, North American time, we may be informed of the latest developments in FSD.
(Tesla's automatic assisted driving makes driving safe reach 8.23 times the US average)
Musk said at last year's AI Day event: "What we are trying at Tesla is to create useful artificial intelligence that people like... and there is no doubt that this will be good artificial intelligence." On September 30 this year, with Tesla Bot as the highlight, we hope that Tesla will go further and bring more surprise breakthroughs to mankind.
