What kind of spark will the biological recognition collision artificial intelligence wipe out?

In 2017, if you asked me what the most profound feeling was, as a tech media professional, I would say: AI is on fire. Driven by supportive policies and real-world applications, this AI hype is also helping to mature the underlying technologies. Artificial intelligence is set to penetrate into various fields and applications, and the next decade will be a crucial period for its practical implementation. Therefore, identifying the first breakthrough that successfully lands in real-world scenarios has become essential. Looking at the market trends over the past two years, we’ve witnessed the rapid growth of the smart voice industry and have seen face recognition emerging as the next big battleground. AI is now expanding into biometrics, a field that has become a major focus and area of competition among global tech giants. It seems reasonable to conclude that biometrics has become one of the most promising areas where AI can make its first significant impact. On December 15th, Jinji Lake Think Tank in the park and Hefei.com jointly hosted a technical salon titled “New Interaction, New Future.” The event featured presentations from notable experts, including President Xu Fei from the University of Science and Technology, Professor Shu Hongping, Market Director Yuan Cong from Suzhou Mindray Microelectronics, and Professor Huang Kaizhu from Xi’an Jiaotong-Liverpool University. Each speaker provided insightful discussions on AI and biometrics, offering both academic and industry perspectives. From Perception to Cognition The core mission of artificial intelligence is to free humans from tedious mental tasks. The current AI wave represents the third surge following two previous "winters." From the 2016 Go match between AlphaGo and a human player, to the popularity of shows like Westworld, and the rise of smart speakers, AI suddenly became everywhere, like a spring breeze overnight. But beneath the surface of this enthusiasm, what’s really happening? How should we approach this third AI boom rationally? At the salon, the three guests explored these questions from both academic and industrial angles. AI's Three Stages **Computational Intelligence**: This enables machines to perform calculations similar to humans, such as through neural networks and genetic algorithms, allowing them to process massive data more efficiently. **Perceptual Intelligence**: Machines can understand language and perceive the world around them. Speech and visual recognition fall under this category, helping humans complete tasks more effectively. **Cognitive Intelligence**: Here, machines can think independently and take actions, providing comprehensive assistance or even replacing human work. Professor Shu Hongping noted that speech synthesis has surpassed human-level performance, and speech recognition accuracy now exceeds that of professional stenographers. Intelligent evaluation systems are even outperforming human teachers. However, today’s AI excels in computational intelligence but still lags behind humans in cognitive intelligence. A recent test by the Hong Kong University of Science and Technology showed that an AI answering robot performed well in math-related subjects but struggled with liberal arts, highlighting its limitations. Professor Huang Kaizhu said, “This is the best era in the history of artificial intelligence, but the age of AI hasn’t arrived yet.” Current AI is far from achieving general intelligence. For example, while chatbots are popular, they still cannot engage in meaningful conversations for extended periods. Similarly, AlphaGo learned to play Go by analyzing thousands of games and self-playing, but it cannot apply the same algorithm to master chess. As we move forward, the intersection of AI and biometrics holds immense potential. It’s not just about face recognition or voice assistants anymore — it’s about how these technologies can reshape our future in ways we’re only beginning to imagine.

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