The Reborn Scholar Wants To Counterattack

Ni Dongjun didn't expect that Gu Weimian would say the names of his two teachers.

"What's the matter? Where did I go to college and who was my teacher? Want to find out? It's easy." He leaned against the bed and softened. "Or do you just want to reminisce with me?"

Gu Weimian rolled her eyes out of thin air, "Of course not, I'm not that free yet."

Ni Dongjun: "..."

He also didn't expect that the girl in front of him was crazier than him.

Now she is begging him to chat, okay?

And you said you’re not that free?

"If you really don't have time, then let's stop talking.

Gu Weimian tilted his head, "The two main research directions of your current artificial intelligence industry are language and image. It relies on the scale of data and integration to achieve the main functions of speech recognition, graphics and image recognition, etc."

She said in a low voice and unhurriedly, "And the foundation of all this relies on the existing computer neural network."

Ni Dongjun smiled slightly: "You know quite a lot."

He glanced at the time on his watch and said, "However, three minutes have passed since you just said these words."

The man reminded Gu Weimian that she didn't have time as she said before.

Gu Weimian nodded, "Okay, it's just a pity that the computer neuron network has an irreversible disadvantage compared to the human biological neuron network, which could have been solved.

Ni Dongjun was startled, "Can it be solved?"

This was a bit too bold to say.

Artificial intelligence did not develop to its current level overnight.

There have been many times during this period. Scientists continued to try and fail, and finally determined the more optimized one, which is today's computer neuron network.

Along with the rapid development of computer networks, there is also the development of computer hardware.

What was once considered impossible by many people has now become a very common and everyday thing.

These are practical applications for daily life.

However, the existing computer neuron network is constantly being deified. Compared with the neurons that come with the human brain, it still has an incomparable characteristic.

It's the size.

To put it bluntly, computer neuron networks are composed 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 order of magnitude is from 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 methods of brain neurons include synaptic firing and chemical reactions of the order of 100,000.

As for the transistor itself, the biggest advantage is computing.

That is why existing artificial intelligence requires inputting a large amount of data before it can perform a job.

Not to mention the process of data collection, let’s talk about the issue of size.

The number of these neurons in the human brain, if they were all replaced by transistors, would not be able to fit even 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 control hundreds of thousands or even billions of times more complex situations.

Of course Ni Dongjun, who has been immersed in this industry for more than ten years, knows these things very well.