The Reborn Scholar Wants To Counterattack
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Chapter Summary
Ni Dongjun didn't expect that Gu Weimian would say the names of his two teachers at once. "Or maybe you just want to catch up with me?" Gu Weimian rolled his eyes out of nowhere, "Of course not, I'm not that free yet." Ni Dongjun: “…” He didn't expect that the girl in front of him was even crazier than him. It relies on data and integrated large-scale to achieve key functions such as speech recognition and graphic image recognition." She spoke slowly and in a low voice, "The foundation of all of...
Ni Dongjun didn't expect that Gu Weimian would say the names of his two teachers at once.
"So what? Where did I go to college? Who were my teachers? You want to find out? It's easy." He leaned against the headboard and slumped. "Or maybe you just want to catch up with me?"
Gu Weimian rolled his eyes out of nowhere, "Of course not, I'm not that free yet."
Ni Dongjun: “…”
He didn't expect that the girl in front of him was even crazier than him.
Now she is begging him to chat, okay?
And you say you don’t have that much free time?
"If you really don't have time, then we won't talk about it for now.
Gu Weimian tilted his head. "The two main research directions of your current artificial intelligence industry are language and image. It relies on data and integrated large-scale to achieve key functions such as speech recognition and graphic image recognition."
She spoke slowly and in a low voice, "The foundation of all of this relies on existing computer neural networks."
Ni Dongjun smiled slightly: "You know quite a lot."
He glanced at the time on his watch and said, "But, it's already been three minutes since you said those few words."
The man reminded Gu Weiman that she had no time for what she had said before.
Gu Weimian nodded, "Okay, it's just a pity that the irreversible disadvantage of computer neural networks compared to human biological neural networks can be solved.
Ni Dongjun was stunned. "Can it be solved?"
This is a bit too bold to say.
Artificial intelligence did not develop to its current level overnight.
There were many times in the process, and scientists kept trying and failing, before they finally determined the more optimized one, which is today's computer neural network.
The rapid development of computer networks has also been accompanied by the development of computer hardware.
What many people once thought was impossible has now become a very common and part of daily life.
These are all practical applications in life.
However, the existing computer neural network is constantly being deified. Compared with the neurons in the human brain, it has an incomparable feature.
It's just size.
To put it simply, a computer neural network is made up of transistors.
With the development of existing technology, these transistors are naturally becoming smaller and smaller.
But compared to the neurons in the brain, it is far behind.
Although there are different opinions on the number of neurons in the human brain, the approximate number is in the range of billions to trillions.
Each neuron has an axon (output) and multiple dendrites (input), which means it can output to multiple objects at the same time.
The basic working mode of brain neurons involves synaptic discharges and 100,000 chemical reactions.
The biggest advantage of the transistor itself is computing.
This is why existing artificial intelligence requires a large amount of data input to perform a task.
Let’s not talk about the data collection process, let’s just talk about the issue of size.
If all the neurons in the human brain were replaced with transistors, they would not be able to hold up a building.
The disadvantage of the human brain compared to transistors is that it is slow.
But at the same time, compared to transistors, the human brain can handle situations that are hundreds of thousands or even billions of times more complex.
Ni Dongjun, who has been immersed in this industry for more than ten years, is of course very clear about these things.