"Ai has changed from a 'dark technology' five or six years ago to a 'hot technology' today, with a lot of cutting-edge research constantly emerging." Wang Endong, an academician at the Chinese Academy of Engineering, made the judgment at the 2021 Artificial Intelligence Computing Conference held recently. "The key to artificial intelligence becoming a 'hot technology' lies in the innovation of computing systems. With the large-scale development of ARTIFICIAL intelligence, computing power has become a decisive force."
On the scene of the conference, inspur Artificial Intelligence Research Institute developed a massive AI model "source 1.0" caused attention. In The view of Wang Endong, facing the strategic needs of exponential growth, the computing industry is facing the trend and challenge of diversification, large-scale and ecological decentralization.
At the same time, he said, there are still many difficulties in landing the "hot technology" of ARTIFICIAL intelligence. On the one hand, we need to consider how technology can go out of the laboratory. On the other hand, industries with real data and demand may not have computing power and data carrying capacity. He said, from chips to computing power transformation, there is still a huge gap, at present, the value of multivariate computing power has not been fully released. "In order to release the value of multiple computing forces and promote AI innovation, we should not only pay attention to the innovation of intelligent computing systems and strengthen the construction of new AI infrastructure, but also speed up the construction of open standards. We should use unified and standardized standards to turn diverse computing forces into controllable resources and make computing forces easy to use." Wang endong said.
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