Technical topics·Machine learning

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Wu Lei, head of Umeng data platform:

The development of big data has brought about stronger demands for storage and computing, and data mining and machine learning have brought more algorithmic challenges. We strongly need a high-speed concurrent computing device to enable people to quickly obtain information from extremely large data sets, and quantum computers are undoubtedly the best choice, both for the storage of massive data and for solving NP problems in algorithms.

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Lin Fan, Technical Director of MOB:

The success of deep learning algorithms, coupled with the development of big data technology, has led to breakthroughs in technology and algorithms in artificial intelligence, making it easier and more efficient for artificial intelligence systems to learn autonomously. The combination of machine learning and big data technology has ushered in a new era of artificial intelligence.

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Ke Min, senior technical expert of Alibaba Group's Technical Support Department:

With the rapid development of big data technology, the demand for shifting from offline data analysis to real-time online data analysis will become increasingly urgent. High-performance computing (HPC) will trigger a revolution in intelligent analysis, and technologies such as machine learning and artificial intelligence will develop rapidly based on big computing.

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Editor's comments:

Machine learning is the science of enabling computers to respond correctly without explicit prior programming. In the past few years, artificial intelligence and big data technologies have promoted the development of applications based on machine learning technology, including self-driving cars and automatic speech recognition. I believe that there will be greater and broader space for application in the future.