Abstract

Abstract Fei-Fei Li, a well-known scientist focusing on computer vision and Artificial Intelligence (AI), did not expect such zeal in China about AI. During her last visit to Beijing, the professor of Stanford University drew much attention from both academy and industry here; NSR took the opportunity to interview Professor Li. She points out that, although the neural network has made marvelous advances in the past 15–20 years, there are still enormous challenges ahead. On the one hand, computational models for AI, such as many current deep neural networks, have theoretical bottlenecks to resolve, such as interpretability and explainability; on the other hand, AI should offer more in solving societal problems and in accelerating innovation in industries such as healthcare, traffic control and agriculture. This would be a more practical way to realize the potential and speed up the advancement of AI. Moreover, Prof. Li is interested but cautious about Artificial General Intelligence (AGI).

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