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

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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, Ha

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

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

Introduction

– Explanation of the “Artificial Intelligence Big Model Technology Summit Forum” hosted by the Chinese Artificial Intelligence Society

Current Status Of Al Technology

– Discussion of the current suitability of Artificial Intelligence technology for various scenarios

Challenges Faced By Al Technology

– Explanation of the three major challenges faced by Al technology
1. Obtaining common sense, implicit, and abstract knowledge
2. Integration of memory and cognitive knowledge
3. Interpretable knowledge reasoning

Solutions To The Challenges Faced By Al Technology

– Discussion of the possible solutions to the three major challenges faced by Al technology
1. Collaborative learning with humans to achieve common sense knowledge mining
2. Develop multi-level neural networks to aid in cognitive ability
3. AI Explainability via neural networks

Conclusion

– Recap of the major points discussed in the article

FAQs

1. What is the “Artificial Intelligence Big Model Technology Summit Forum”?
2. What are the three challenges faced by Al technology?
3. What are the possible solutions to the challenges faced by Al technology?

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 games, 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.

Current Status Of Al Technology

Artificial Intelligence technology has been a topic of discussion for many years because it promises to revolutionize the world. However, despite the significant progress made in this field, Al technology is not suitable for all scenarios. Currently, the Al technology’s limitations lie in scenarios such as boundary uncertainty, strong adversarial games, high real-time response, high complexity of the environment, and incomplete information.

Challenges Faced By Al Technology

The development of Artificial Intelligence technology comes with many challenges. Zheng Qinghua pointed out that currently, we are facing three significant challenges. Firstly, the limitations of current methods in obtaining common sense, implicit, and abstract knowledge, making it difficult to mine. Secondly, 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. Lastly, the challenge of interpretable knowledge reasoning. The current methods are limited to issues, such as difficulty in causal inference, weak antifactual reasoning ability, and poor interpretability.

Solutions To The Challenges Faced By Al Technology

The three major challenges of Al technology could be solved in different ways, carefully selected based on each issue’s nature. For obtaining common sense, implicit, and abstract knowledge, the solution lies in collaborative learning with humans to achieve common sense knowledge mining. For the integration of memory and cognitive knowledge, developing multi-level neural networks would aids cognitive development. Finally, in AI Explainability via neural networks solves the challenge of interpretable knowledge reasoning.

Conclusion

In conclusion, the development of Artificial Intelligence technology from weak Al to strong Al and super Al will require solutions to several challenges faced by Al technology. These challenges, which include obtaining common sense, implicit, and abstract knowledge, integrating memory and cognitive knowledge, as well as interpretable knowledge reasoning, will require the collaborative efforts of researchers, scientists, and other top stakeholders in the industry.

FAQs

1. What is the “Artificial Intelligence Big Model Technology Summit Forum”?
The “Artificial Intelligence Big Model Technology Summit Forum” is an annual forum hosted by the Chinese Artificial Intelligence Society, aimed at discussing diverse matters on artificial intelligence technology.
2. What are the three challenges faced by Al technology?
The three challenges faced by Al technology are obtaining common sense, implicit, and abstract knowledge, integrating memory and cognitive knowledge, as well as interpretable knowledge reasoning.
3. What are the possible solutions to the challenges faced by Al technology?
The possible solutions to the challenges faced by Al technology include collaborative learning with humans to achieve common sense knowledge mining, developing multi-level neural networks to aid cognitive abilities and AI Explainability via neural networks to improve interpretable knowledge reasoning.
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