"Another biometric technology line?"
The people at the scene also looked at Gao Nian with puzzled expressions, wondering what the other biometric technology line was.
Seeing the puzzled gazes cast by the people at the scene, Gao Nian slowly unraveled the mystery.
"This other biometric technology line is facial recognition technology!
Previously, our Geek Payment Pass also simply used facial recognition technology when verifying user information.
Now we can completely integrate it into the Geek smart phone system, so as to apply it to all aspects of mobile phone use.
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For example, the screen unlock function, now our mobile phones require users to enter a password or connect lines to unlock the screen.
If facial recognition technology is integrated into the Geek smart phone system, then the front camera can be used to recognize faces and then directly unlock the phone.
Later, when making consumer payments, users can click the virtual button of the facial recognition function to pay through facial recognition.
This can avoid frequently entering payment passwords, and you donβt have to worry about people next to you seeing what the payment password is.
Or, when logging into a game or software, you can also click the facial recognition login function to avoid entering passwords and account information, and directly log in to the "Geek One Account Pass".
From now on, it is no longer a dream for users to play all games and software with one face."
Hearing Gao Nian's words, the people at the scene instantly lit up.
They found that the facial recognition technology idea proposed by Gao Nian was really amazing.
Because of this facial recognition function, their current Geek smart phones, including smart phones of other brands, can do it perfectly.
After all, today's smart phones basically have a front-facing camera, which can fully support facial recognition technology, and what's even better is that this facial recognition function is no less practical and convenient than the fingerprint recognition function of the iPhone4 mobile phone.
The only thing they need to do is to develop such a function on the Geek smart phone system, and then let users upgrade the system.
"This facial recognition function is very good, but how long will it take to develop successfully?"
Lei Bu Si asked Gao Nian with a bright look in his eyes.
Seeing this, Gao Nian thought for a while and then said:
"I will put other things aside first, and then lead the R\u0026D staff to do this thing well first.
It will probably take about a month."
"That's still acceptable."
Lei Bu Si said with a sigh of relief.
Fortunately, Geek Technology Company has a top technical expert, Gao Nian.
Otherwise, it would be difficult for Geek Technology to suppress the rapid rise of iPhone4 mobile phones.
It can be said that without Gao Nian, the first-mover advantage gained by the Geek smart phone system would definitely be surpassed by the West one after another.
This can be seen from the previous Nokia N9 and Nokia 5230 release events and the current rise of the iPhone4 mobile phone.
If Gao Nian hadn't taken action every time there was a collapsing trend, where would Geek Technology Company be able to maintain such power now?
All of this depends on Gao Nian. Even if Geek Technology Company can survive without Gao Nian, it will definitely not be able to maintain its current position!
"Then how should the artificial intelligence Siri problem be handled? Are there any companies in our country developing artificial intelligence?
Can it be acquired?"
Lei Bu Si continued to ask the people at the scene.
Faced with Lei Bu Si's question, most of the people at the scene naturally looked at each other, after all, this touched their blind spot of knowledge.
However, after all, there were people who knew what was going on, so Ni Guanghai, the Minister of Technology R\u0026D Department who had prepared a draft in advance, said:
"I have studied Apple's artificial intelligence Siri, their artificial intelligence Siri is essentially a smart voice technology.
Currently, there is a company in China called iFlytek that is developing the same smart voice technology, but their technology is still in its infancy and cannot reach Siri's practical level.
Because they only officially combined their own voice synthesis technology and artificial intelligence technology last year, attempting to develop smart voice technology.
So that through voice input, artificial intelligence can understand the meaning of the voice and then convert it into text.
Or, through voice input, artificial intelligence can understand the meaning of the voice and then control the device to open or work."
Hearing this, the people at the scene lit up, and they didn't expect that there would be such a technology company in China.
Although this company only started the research and development of smart voice technology last year in 2008, the time has been one year until now.
This is much better than Geek Technology Company, which has nothing like it now.
"Then acquire them!"
Lei Bu Si said with a decisive look on his face.
"I have no objection."
Gao Nian also expressed his opinion.
Speaking of which, Gao Nian also knows something about iFlytek Company.
After all, the voice recognition rate of iFlytek's voice input method in the previous life was indeed the most accurate, and Gao Nian also liked to use this input method very much.
In addition, when generative artificial intelligence became popular on a large scale in his previous life, iFlytek also launched its own generative artificial intelligence Spark.
In general, the experience of generative artificial intelligence Spark is still acceptable, and Gao Nian also used it frequently in his previous life,
However, the defect is that there will be some fabricated phenomena.
Of course, the phenomenon that this generative artificial intelligence will fabricate is not unique to Spark.
In fact, domestic generative artificial intelligence exists, and only foreign generative artificial intelligence ChatGPT performs the best.
As for what is the fabricated phenomenon? Why does the fabricated phenomenon occur?
Gao Nian has also watched many popular science videos and knows that the essence of this thing is the lack of 'learning materials'.
Eventually, when artificial intelligence encounters something it doesn't understand, it can only fabricate unreasonable and ridiculous answers based on past 'experience'.
As for why China's generative artificial intelligence lags behind the United States' generative artificial intelligence?
Gao Nian also learned the real reason through popular science videos in his previous life, knowing that there is a serious data island phenomenon in domestic applications.
This data island phenomenon has a professional term called 'application ecological closed loop'.
That is, the data of various companies' websites, APPs, and platforms will refuse other companies to search and pick up data information.
This data information is diverse, and it is the core key to cultivating artificial intelligence, and it is also the key to making artificial intelligence smarter.
For example, someone in a post asks 'Why can't you eat fruit on an empty stomach. '", then their answers are naturally diverse.
In this question and answer, a 'useful data' is formed, and the professional term is also called 'high-quality text data'.
Then, after a certain generative artificial intelligence learns this data information, if someone asks the generative artificial intelligence next time.
Then the generative artificial intelligence can perfectly answer this question without fabricating phenomena.
But after the 'application ecological closed loop', my company's products refuse you to crawl my product information, and your company also refuses to crawl my product information.
In the end, the Chinese Internet is divided into data islands. If a company wants to train an artificial intelligence.
Then it will find that the data it has is pitifully small. If you want to obtain data, you can only spend money to buy 'data', or you can only give up.
And the cost of giving up is that your generative artificial intelligence will fabricate some ridiculous answers that disappoint users.
