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What Chinese supercomputers do on artificial intelligence

What Chinese supercomputers do on artificial intelligence

In China, an exascale supercomputer has made a massive increase in its artificial intelligence performance.

A powerful exascale supercomputer in China has made a massive increase in its artificial intelligence performance, according to a new study that says more advanced machines are being developed to meet the demand for more computing power.

Aided by a breakthrough in memory management technology, the next-generation Sunway supercomputer developed by the National Research Center for Parallel Computer Engineering and Technology has experienced a 75,839-fold boost in data management for machine learning. Overall computer performance increased 88 times while processing some of the most demanding AI- related tasks.

Using the new technology, the Sunway exascale machine is running many AI applications, including large-scale machine learning and molecular dynamics simulation.

An exascale computer can be 1,000 times more powerful than existing traditional supercomputers.

With the increasing use of artificial intelligence technology in many areas, potential users of exascale computers hope it can be used by the military to identify targets in satellite photos.

China has built more supercomputers than any other country and double that in the United States. They have played an important role in the rapid development of nuclear warheads, hypersonic weapons, large-scale infrastructure, life sciences, and global monitoring networks.

In short, the combination of supercomputer artificial intelligence is allowing China to quickly overtake the United States and therefore is certainly allowing it to be more efficient in simulations not only of a scientific nature but above all of a military nature.


This is a machine translation from Italian language of a post published on Start Magazine at the URL https://www.startmag.it/mondo/cina-intelligenza-artificiale-supercomputer/ on Sat, 27 Nov 2021 06:39:29 +0000.