The concept of autonomous driving was proposed a long time ago, but it wasn't until deep learning algorithms accumulated to a certain level that people saw the possibility of autonomous driving being implemented.

As early as the 1920s, people published their visions and experiments regarding autonomous driving.

The exploration of autonomous driving has never stopped from the last century to the present day, but it has only truly entered the lives of the general public in recent years with the development of Internet technology.

(I'd reluctantly agree that current driver assistance systems can be considered a form of autonomous driving as understood in the past.)

On July 28, 1936, the American Herald Politician magazine featured a remote-controlled car, a modified Ford Model T, in a parade.

Later, in May 1958, Popular Science magazine published a picture of an autonomous vehicle on a test track.

The first truly self-driving car appeared in the 1980s, but this self-driving was only under specific conditions.

Deep learning architecture has enabled the rapid development of autonomous driving.

Brain-computer interfaces actually mitigate some risks quite well. It's like an autonomous driving system is responsible for controlling a car under normal conditions, while the human brain is only responsible for stress responses and controlling the emergency braking in specific situations.

However, the biggest obstacle to the implementation of this type of autonomous driving is the division of responsibilities.

Currently, self-driving cars on the market are advertised as having autonomous driving capabilities, like Tesla, but once an accident occurs, they are simply considered driver assistance systems.

Previously in Tempe, Arizona, a self-driving Uber car struck and killed a pedestrian crossing the street. This was the first fatal accident involving a self-driving car on Earth.

Uber and the car brand Volvo involved in the accident have not assumed corresponding responsibility.

Once Level 4 or higher autonomous driving is available, the responsibility for any traffic accidents should fall on the car manufacturers.

Moreover, the brain-computer interface recognition accuracy of Kechuang Bio is only 99%. A 99% recognition rate is fine for use on a mobile phone, and it won't matter if you click the wrong button.

The accuracy rate of 99% for cars is too low, so most car manufacturers have little interest in it.

Kechuang Bio bought two floors in the CBD of Suzhou High-tech Zone as its headquarters. Senior management and administrative staff are generally located in the CBD, while R&D and production staff are located in the integrated R&D and production base.

Kechuang Bio chose a CBD location by Jinji Lake. Standing by the floor-to-ceiling windows, you can overlook Jinji Lake, which glows with golden afterglow at sunset.

Cheng Gang waited in his office for Ren Yong, the vice president of Huawei, who was in charge of Huawei Mobile's Greater China region.

At this moment, he felt extremely fortunate that he had agreed to work for Kechuang Biotechnology, which was a leap forward in his career.

"President Cheng, thank you very much for finding a way out for us at Kechuang Biotechnology. With the brain-computer interface chip, Huawei mobile phones have a glimmer of hope."

At this time, Kechuang Bio had already signed agreements with four major domestic manufacturers: Huawei, Dami, OPPO, and VIVO.

The agreement with OPPO also included the licensing of OnePlus.

Other smaller manufacturers like Meizu and Nubia are still in negotiations.

Seeing his politeness, Cheng Gang became wary: "Not at all, Mr. Ren, you're too kind. Our development of the brain-computer interface chip and our cooperation with Huawei are purely market-driven."

"It is an honor for us that Huawei, as one of the top mobile phone brands, can trust us and establish a cooperative relationship with us."

After receiving the samples from Kechuang Biotechnology, Hua Wei conducted tests in her own 2012 laboratory. The test results were astonishing, with an accuracy rate even higher than the 99% claimed by Kechuang Biotechnology.

More importantly, Kechuang Bio's brain-computer interface technology only requires about one hundred electrodes to collect brain nerve signals in a non-implantable way, which can accurately identify the brain's intention to the cursor.

After exchanging pleasantries with Cheng Gang for a while, Ren Yong said, "I heard that your company is in talks with foreign manufacturers about licensing its brain-computer interface patents?"

This information doesn't need to be kept secret. Cheng Gang said directly, "Recently, Samsung and Apple have both approached us, expressing their desire for us to provide samples for testing. They will then discuss cooperation methods based on the test results."

"You are also aware of Huawei's recent predicament. After America imposed a blockade on Huawei, Huawei's stockpiled chips are gradually being depleted."

"Next spring, Huawei's P series new phones will only be 4G models."

"Could the patent licensing of Kechuang Bio be temporarily blocked from foreign companies? Huawei is willing to pay a large sum of money for patent blocking."

According to Huawei, this is a rare monopolistic technology in China. If this technology can be reversed and the blockade is lifted, it can give Huawei mobile phones a certain advantage in the high-end brand market.

If we're just competing with domestic mobile phone brands in the high-end market, Huawei is confident that even its 4G models can hold their own.

Cheng Gang declined, saying, "We are a technology licensing company, not a manufacturer of brain-computer interface chips."

"The brain-computer interface technology authorized by Kechuang Bio does not involve uploading data to a cloud database. It can only capture signals in your brain and cannot convert your brain's thoughts into memories or even images."

Furthermore, since you're constantly wearing a brain-computer interface (BCI) device to operate your phone, your brain is generating signals every second. The BCI device converts these neural signals into commands that a computer can recognize to operate the phone. This data is massive and unordered, so there's no need to store it.

Because there is no data storage and no issues related to data leakage, the R&D director of Kechuang Bio Suzhou even made a special trip to the Ministry of Industry and Information Technology to explain the brain-computer interface patent when it was being registered.

The history and speed of brain-computer interface technology development far exceed outside imagination.

As early as 1999, a research group led by Hunter Peckham at Case Western Reserve University in the United States had restored some hand motor function in Jim Jatich, a quadriplegic patient, using a 64-bit electroencephalogram.

This technology analyzes beta waves in electroencephalogram (EEG) signals to classify the patient's thoughts into two concepts: upward and downward, and then controls an external switch.

In addition, this technology can also enable patients to control a computer cursor and the neural controllers that drive their hands, thus restoring motor function to some extent.