The concept of autonomous driving has been proposed very early. It was not until deep learning algorithms accumulated to a certain extent that people saw the possibility of autonomous driving.
In the 1920s, people published prospects and experiments on autonomous driving.
The exploration of autonomous driving has never stopped from the last century to today. It is only in recent years that with the development of Internet technology, it has truly entered the lives of the public.
(I reluctantly think that today’s assisted driving is considered autonomous driving in the previous concept)
The American Herald-Statesman magazine on July 28, 1936 showed a remote-controlled car in the parade, which was a modified Ford Model T.
Later, in May 1958, Popular Science magazine published a self-driving car on the test track.
The first truly self-driving car appeared in the 1980s. Of course, this kind of self-driving is self-driving under specific circumstances.
Deep learning architecture enables the rapid development of autonomous driving.
Brain-computer connection actually avoids some risks very well. It is equivalent to the automatic driving system being responsible for car control under normal conditions. The human brain is only responsible for stress response and can control emergency braking under certain circumstances.
But the biggest obstacle to the implementation of autonomous driving is the division of powers and responsibilities.
The self-driving cars on the market now are promoted as autonomous driving, like Tesla, but once there is an accident, they are assisted driving.
Previously, a self-driving Uber car hit and killed a pedestrian crossing the road in Tempe, Arizona. This is Blue Star's first accident in which a self-driving car caused human death.
Uber and Volvo, the car brand responsible for the accident, did not assume corresponding responsibility.
Once there is autonomous driving above L4, if a traffic accident occurs, the responsibility should be borne by the automobile manufacturer.
Moreover, the brain-computer connection recognition accuracy rate of Kechuang Biotech is only 99%. The 99% recognition rate can be used on mobile phones without any problem. If you click the wrong button, nothing will happen.
Ninety-nine percent accuracy in cars is too low, so most car manufacturers have little interest.
Kechuang Biotech bought two floors in the CBD of the High-tech Park in Suzhou as its headquarters. Senior management and administrative staff are generally in the CBD, and R&D and production staff are in the R&D and production integrated base.
The CBD selected by Kechuang Biotech is located beside Jinji Lake. Standing by the floor-to-ceiling windows, you can overlook Jinji Lake. Jinji Lake is glowing with golden afterglow under the setting sun.
Cheng Gang was waiting in his office for Huawei Vice President Ren Yong, who came to visit him. Ren Yong is the person in charge of Huawei Mobile Greater China.
At this time, he felt extremely lucky that he had agreed to Lei Jun to work at Science and Technology Biotechnology. This was a leap in his career.
"Mr. Cheng, thank you very much for your help in creating a way out for Huawei. With the brain-computer connection chip, Huawei's mobile phones can be said to have a glimmer of hope."
At this time, Kechuang Biotechnology has completed contracts with four major domestic manufacturers: Huawei, Rice, OPPO, and VIVO.
The contract with OPPO also includes the authorization of OnePlus.
Other small manufacturers such as Meizu and Nubia are still in negotiations.
Seeing how polite he was, Cheng Gang kept a careful eye on him: "Mr. Ren is too polite. Our development of brain-computer connection chips and our cooperation with Huawei are purely market behaviors."
"As one of the top mobile phone brands, Huawei trusts us and it is our honor to enter into a cooperative relationship with us."
After receiving the samples from Kechuang Biotech, Huawei conducted tests in its own 2012 laboratory. The test results were astonishing. The accurate recognition rate was higher than the 99% advertised by Kechuang Biotech.
What's more critical is that Kechuang Biotech's brain-computer connection technology only requires about a hundred electrodes to collect brain nerve signals in a non-implantation way, so that it can accurately identify the brain's intention for the cursor.
After chatting with Cheng Gang for a while, Ren Yong said, "I heard that your company is negotiating with foreign manufacturers about brain-computer connection patent licensing?"
This kind of information does not need to be kept confidential, Cheng Gangzhi said: "Samsung and Apple have recently come to us. They expressed that they hope that we will provide samples for them to test. They will discuss cooperation methods based on the test results."
"You are also aware of Huawei's recent predicament. After Amerikan blocked Huawei, the chips Huawei had hoarded were gradually depleted."
“Huawei’s new P series phones next spring will only release 4G models.”
"Whether the patent authorization of Kechuang Biotechnology can be temporarily blocked by foreign companies, Hua Wei is willing to pay a large amount of patent blocking fees."
In Huawei's view, this is a rare monopoly technology in China. If this technology is anti-blockade, it can gain certain advantages for Huawei mobile phones in high-end brands.
If we only compete with these domestic mobile phone brands in the high-end market, Huawei is confident that even its 4G models can compete with them.
Cheng Gang declined: "We are a technology licensing company, not a manufacturer of brain-computer connection chips."
"The brain-computer connection technology authorized by Kechuang Biotech does not involve uploading data to a cloud database. It can only capture the signals in your brain, but cannot convert your brain thoughts into memories or even images.
Moreover, you are always wearing a brain-computer connection device to operate your mobile phone. Your brain is generating signals every minute and every second. The brain-computer connection device converts neural signals into commands that the computer can recognize to operate your mobile phone. This data is massive and disordered, and there is no need to save it.
Because there is no data storage, there are no issues such as leaks. When the brain-computer connection patent was registered, the R&D director of Kechuang Biotech in Suzhou made a special trip to the Ministry of Industry and Information Technology for explanation.
The history and speed of the development of brain-computer connection technology are far beyond the imagination of the outside world.
As early as 1999, a research team led by Hunter Peckham at Case Western Reserve University in the United States had used 64-bit electroencephalography to restore certain hand movement functions of quadriplegic patient Jim Jatich.
The technology analyzes beta waves in brain electrical signals to classify the patient's thoughts of up and down, and then controls an external switch.
In addition, this technology can also allow patients to control the computer cursor and the neural controller that drives their hands to restore motor function to a certain extent.
