Artificial Intelligence Big Model Technology Summit Forum: The Future of AI Research Direction

According to reports, the main forum of the “Artificial Intelligence Big Model Technology Summit Forum” hosted by the Chinese Artificial Intelligence Society opened in Xiaoshan, Hangzhou. At the forum, Zheng Qinghua, President of Tongji University, pointed out when discussing the future research direction of AI that currently, Al technology is not suitable for scenarios such as boundary uncertainty, strong adversarial game, high real-time response, high complexity of the environment, and incomplete information. This is the pilot for the development of weak Al to strong AI and super Al. Meanwhile, Zheng Qinghua pointed out that currently, we are facing three challenges. The first challenge lies in the limitations of current methods in obtaining common sense, implicit, and abstract knowledge, which are difficult to mine; The second challenge lies in the integration of memory and cognitive knowledge, while the current methods face limitations such as strong perception but weak cognitive ability and high computational costs; The third challenge lies in interpretable knowledge reasoning. The current methods are limited to issues such as difficulty in causal inference, weak anti factual reasoning ability, and poor interpretability.

Zheng Qinghua, President of Tongji University: Three Major Challenges Faced by Current AI Technology

Artificial Intelligence (AI) has been an increasingly popular topic in recent years. According to reports, the main forum of the “Artificial Intelligence Big Model Technology Summit Forum” hosted by the Chinese Artificial Intelligence Society opened in Xiaoshan, Hangzhou. At the forum, Zheng Qinghua, President of Tongji University, discussed the future research direction of AI.

Introduction

AI technology has come a long way since it was first introduced. Today, it has become an indispensable part of various industries such as healthcare, finance, and transportation. Despite its tremendous progress, Al technology still faces several challenges that need to be addressed before realizing its full potential.

The Road to Strong AI and Super AI

Zheng Qinghua pointed out that currently, Al technology is not suitable for scenarios such as boundary uncertainty, strong adversarial game, high real-time response, high complexity of the environment, and incomplete information. This is the pilot for the development of weak Al to strong AI and super AI.

The Three Challenges

Zheng Qinghua identified three major challenges that Al technology is facing today.

Challenge 1: Limitations in Obtaining Common Sense, Implicit, and Abstract Knowledge

The first challenge lies in the limitations of current methods in obtaining common sense, implicit, and abstract knowledge, which are difficult to mine. The lack of these types of knowledge severely limits the learning and generalization capacity of current AI models.

Challenge 2: Integration of Memory and Cognitive Knowledge

The second challenge lies in the integration of memory and cognitive knowledge, while the current methods face limitations such as strong perception but weak cognitive ability and high computational costs. Memory and cognitive knowledge are essential for intelligent decision-making but are often overlooked in current AI models.

Challenge 3: Interpretable Knowledge Reasoning

The third challenge lies in interpretable knowledge reasoning. The current methods are limited to issues such as difficulty in causal inference, weak anti-factual reasoning ability, and poor interpretability. These limitations hinder the development of sophisticated decision-making processes based on AI models.
Although such challenges may seem insurmountable at first, it is only a matter of time before researchers find ways to overcome them.

Conclusion

The development of Al technology is essential for the progress of the digital age. However, the challenges that Al technology faces today emphasizes the need for researchers to put their best efforts into finding solutions. The path to strong AI and super AI may not be easy, but it is achievable.

FAQs

1. What is the Artificial Intelligence Big Model Technology Summit Forum?
– The Artificial Intelligence Big Model Technology Summit Forum is a forum hosted by the Chinese Artificial Intelligence Society that discusses the latest developments and challenges that AI technology is facing today.
2. What challenges does AI technology face?
– AI technology faces challenges such as limitations in obtaining common sense, implicit, and abstract knowledge, integration of memory and cognitive knowledge, and interpretable knowledge reasoning.
3. What is the importance of AI technology?
– AI technology is essential for the progress of the digital age as it helps improve various industries such as healthcare, finance, and transportation.