Daguo Science and Technology started from the copycat system

But fortunately, there is still a lot of time left for people. There is still a window of several years before they can really make a profound impact on huge changes. These few years are enough for them to learn and master a new skill.

As for why there is a window period?

The reason is that the computing power required for artificial intelligence is seriously insufficient, which ultimately leads to the problem that related robots cannot be truly deployed on a large scale.

After all, the demand for computing power from artificial intelligence from text to pictures to videos has increased exponentially, and the big problem you have to face is to control countless engineering robots with artificial intelligence at the same time...

Therefore, the most fundamental problem that restricts the development of artificial intelligence and even its entry into the field of industrial engineering production is the problem of computing power!

If the computing power problem cannot be solved, it is almost impossible to eliminate the human labor force on a large scale.

However, Lin Chen is not pretending not to notice the increasing demand for computing power. In fact, Lin Chen is currently prepared.

As for how to solve the problem of computing power demand?

Currently, Lin Chen mainly establishes three R\u0026D teams and develops three projects at the same time.

The first project is the development of integrated storage and computing chips. This integrated storage and computing chip is not a new concept. The earliest theory can even be traced back to the 1970s.

However, due to three major problems, including production costs, overly complex production processes, and overly complex integrated storage and computing chip design, this storage and computing integrated chip has still not been implemented until 2007.

The era when this storage and computing integrated chip really emerged was when the process technology was reduced to a few nanometers in the previous life. It became increasingly difficult to continue the process technology, and the cost of R\u0026D and construction was getting higher and higher.

Therefore, companies at that time could only find ways to solve mankind's endless need for computing power.

In this case, storage and computing integrated chips that are compatible with existing semiconductor systems and can reduce energy consumption and improve efficiency through architectural changes and design have come into everyone's eyes.

Among them, this storage and computing integrated chip technology mainly breaks through the limitations of the von Neumann architecture and integrates the storage and computing units through innovative design to make it an integrated storage and computing chip to solve the "storage wall" and "power consumption". wall" problem.

At this time, Sugon Technology is developing this integrated storage and computing chip technology line. If this integrated storage and computing chip technology is successfully developed,

So theoretically, if this integrated storage and computing chip can be developed, the energy efficiency ratio and area efficiency advantage will be 10 times higher than that of chips on the market!

After this is the second research project. This second research project is actually an integrated storage and computing chip.

However, this integrated storage and computing chip is a real integrated storage and computing chip, not the above-mentioned product that compromises the current semiconductor industry. The actual effect is not up to the 10% efficiency of the real storage and computing integrated chip.

As for why you say this?

Because the real storage and computing integrated chip uses special components, a resistor that can both store and calculate, which is similar to the neurons of the human brain, to build a real storage and computing integrated chip!

Among them, this resistor chip was dubbed by netizens as the foundation for the birth of "Skynet" in 2023, a black technology that allowed artificial intelligence to give birth to true "consciousness".

For this reason, in 2023, Qinghua University successfully developed the world's first memristor chip, proving the power and prospects of memristor chips. This immediately caused controversy and many people's concerns on the global Internet.

Because the resistor chip is really similar to the synapses of the human brain, and has the same ability to store and calculate as the synapses of the human brain.

It is suitable for running a SNN impulse neural network technology that is exactly the same as the human brain. This is naturally one step closer to the similarity of the human brain. After all, the operating mode of the human brain is the principle of the SNN impulse neural network!

So this memristor chip is really very similar to the human brain, and can even be said to be exactly the same, except that one is an organic substance and the other is an inorganic substance.

In this case, using this kind of memristor chip with artificial intelligence technology, it is really possible for artificial intelligence to give birth to self-awareness.

After all, using a memristor chip is essentially a simulated human brain constructed from the physical level, which is exactly the same as the human brain's operating mode.

Adding an artificial intelligence to this situation is naturally equivalent to giving the human brain a soul. When the two are combined, it seems possible that it will give birth to self-awareness.

As for why Lin Chen previously claimed in the media that artificial intelligence "Dawn" has no possibility of giving birth to self-consciousness, but now he believes that using memristor chips can make artificial intelligence self-conscious.

The reason is that the previous "dawn" of artificial intelligence was essentially an artificial intelligence technology implemented at the algorithm level.

No matter how simulated the artificial intelligence built using this algorithm level is, its essence is still 0 and 1 calculated by the chip.

At this time, the "silicon brain" was created through the physical level and artificial intelligence algorithms were combined. The combination of the two naturally made it possible to create self-awareness.

Of course, this is only a possibility. Lin Chen is not sure whether self-awareness can actually be born. It can only mean that there is a certain probability.

After all, the human brain and even more mysterious consciousness are secrets that humans have not been able to crack for thousands of years. It is not easy to create an artificial intelligence with self-awareness.

As for whether Lin Chen would destroy the world if he really created a self-aware artificial intelligence, Lin Chen still believed in his own control methods.

After this memristor chip research and development project, the next step is the research and development project that really solves the computing power bottleneck, that is, the quantum computer research and development project.

If the previous storage and computing integrated chips are to solve the short-term computing power needs, then the memristor chip is to solve the medium-term computing power needs, then the quantum chip is to solve the computing power needs in the later and even later stages.

After all, people's demand for computing power is never-ending. In the previous era of great development of artificial intelligence and computers.

According to statistics from relevant authoritative organizations, human demand for computing power is increasing three times every year. In fact, with breakthroughs in manufacturing processes, chip computing power increases only 1.5 times every year.

A more serious problem is that with the rapid increase in human demand for computing power, it is estimated that by 2030, 50% of the power in global power plants will be used for computing power!

In this case, the problems of insufficient computing power and excessive computing power consumption were particularly prominent in the previous life, so the world naturally turned its attention to other lines to solve the increasing demand for computing power.

In the end, memristor chips, integrated storage and computing chips, graphene chips, carbon nanotube chips, biological DNA chips, optical quantum computers, superconducting quantum computers, ion trap quantum computers, etc. have achieved great results with the help of funds and scientific researchers. Big progress. (End of chapter)