Genius of the Rules-Style System

Chapter 230: Chapter 182: Professional Supporting Comedian?_3

Who would dare say it’s not impressive?

Hardware technology of computer science is the foundation that drives the development of software technology, and artificial intelligence, from an academic point of view, leans more towards software.

If there could be a major breakthrough in the processing of image information, it would undoubtedly be quickly applied to various devices, a hundred or even tens of times faster than the popularization of artificial intelligence.

So, the future of any technology can be seen as "buzzwords" or "jargon" in academia, which may sound impressive but actually has little practical significance.

The key is still the technical breakthrough.

Without a breakthrough in technology, talking about application and development is just talking nonsense.

In fact, for the field of artificial intelligence, the current domestic large-scale technology companies do not invest much in related research. Most of their research investment is still focused on the development of underlying hardware technology.

Because software is hard to predict.

If most of the investment doesn’t yield corresponding returns, then the investment is like throwing money away.

This is also one of the reasons why most computer labs are "running deficits." They have a hard time getting external research funding and can only rely on state support to keep going.

On the other hand, some small start-up teams will focus on developing certain technologies, such as Yuan Zhongchen’s team, which has always been researching robot operating systems. As a result, due to "uncertain prospects", the Universe Company’s board of directors decided to let them go and become an "independent partner."

These small teams are not afraid of failure; if they succeed, they can grow and become stronger, and the impact of failure is not significant.

Large companies need to consider many factors, and some companies prefer to just "buy, buy, buy" and "acquire, acquire, acquire" to ensure they don’t fall behind in technology through capital domination.

You could say...it’s a different perspective.

At noon.

After lunch, Zhao Yi returned to his room for a nap, then came to the venue just in time. His presentation was at three o’clock.

Upon entering the venue, Zhao Yi was slightly surprised to see more people than there were in the morning. There were many empty seats in the morning, and now it was packed with people.

Zhao Yi couldn’t help but think, "Am I already this popular?" ƒreewebɳovel.com

He walked onto the stage with a smile.

Zhao Yi was not popular, but rather the focus of attention. Over the past year, he has been the most accomplished person in the fields of mathematics and computer science in China. Whether it’s Effective and Irrelevant Carry Filtering, the Collatz Conjecture, or the recently published "Irregular Three-dimensional Tremor Waveform", all are top-notch research results internationally.

One person with several top research achievements in just one year - it would be impossible for him not to attract attention.

At the same time, some people were dissatisfied with Zhao Yi, such as Professor Feng Mingyu from Jinning University.

Feng Mingyu once commented on Zhao Yi’s mathematical ability, only to be quickly slapped in the face by the "Irregular Three-dimensional Tremor Waveform", causing many people to laugh at his lack of discernment.

Zhao Yi would find it difficult to achieve any mathematical results in a short period of time?

And the result...

In just one or two weeks, Zhao Yi was able to create a function that appears simpler and covers a broader range of prime numbers based on the Riemann Conjecture.

Of course,

other people also knew that the "Irregular Three-dimensional Tremor Waveform" was not researched overnight, but being able to create such a function demonstrated a top-level understanding of the Riemann Conjecture.

Could anyone say his "mathematical foundation" was weak?

Zhao Yi prepared a speech and went on stage.

The audience’s reaction was quite calm, the applause was moderate, but everyone was looking carefully at the stage, curious to see what Zhao Yi would specifically talk about in his presentation.

Zhao Yi opened the prepared PowerPoint and began his prepared report.

Two keywords--

Fuzzy mathematics and the Carrying-Unrelated Filtering Method.

"Artificial intelligence, one important research direction, is to make intelligence closer to human thinking patterns, so as to create ’human-like’ intelligence."

"Human thinking and computing patterns can be best described by fuzzy mathematics. When fuzzy mathematics is combined with the filtering method, we can obtain a ’human-like thinking’ algorithm."

"I call it the ’fuzzy algorithm’."

After a brief introduction, Zhao Yi commenced discussing the ’fuzzy algorithm’, extending it to the specific implementation of the algorithm and the fields it could be applied to, with a focus on ’image recognition’.

’Image recognition’ is a vast topic, and Zhao Yi’s research achievement was object recognition. He focused on object recognition and explained how the algorithm could be applied.

Zhao Yi talked very quickly.

Since the academic presentation was half an hour long, the organizers suggested keeping it within 20 minutes, so he skipped some parts. Whether or not the audience could keep up didn’t matter much, as there would be video recordings of the presentation that they could watch and slowly digest later.

The reaction of the audience was quite positive, with many senior professors taking notes, clearly showing interest in what Zhao Yi was saying.

Twenty minutes later, the presentation ended.

Next came the question and answer session, with many people in the audience raising their hands to ask questions. Several people were selected by the host.

Zhao Yi patiently answered each question one by one, explaining them very clearly and calmly.

The host called on Professor Feng Mingyu from the front row. Feng Mingyu was quite famous, he is a top figure in the field of computer mathematics. He initially researched differential equations, and later achieved influential results in mathematical modeling and data mining.