cool hit counter Tsinghua University research team makes major breakthrough developing chip that can support neural networks_Intefrankly

Tsinghua University research team makes major breakthrough developing chip that can support neural networks

One of the development goals that China has set is to further develop itself into a scientific and innovative power in the future. Therefore, China must also develop its own IC technology and industry. The goal for China to have the ability to develop and produce neural network processing chips by 2020 was already established in the Ministry of Industry and Information Technology's Three-Year Development Plan for Artificial Intelligence, which was released to the outside world in December 2017.

A few days ago, the Globe quoted foreign media reports that a research team at Tsinghua University has made a major technological breakthrough by designing and developing a chip that can support the operation of neural networks, which can be used in miniaturized, battery-bearing devices such as smartphones, wearable devices and home robots.

The chip, codenamed "Thinker," developed by a Tsinghua University research team, is capable of supporting neural network processing, with the two most obvious advantages being low power consumption and high flexibility, according to GlobeNewswire. "The Thinker can support neural networks, and the chip is unique in that it is driven by low energy consumption - eight No. 5 batteries will cover the chip's power consumption for a year. In addition, it is important that the Thinker can dynamically adapt its computational and memory requirements to the conditions required for the software in the device to run. There are now many AI applications, either for recognizing targets in pictures or for understanding human speech ...... This all requires multiple neural networks and multilayer neural networks jointly. In December 2017, a paper on "Thinkers" was published in the IEEE Journal of Solid-State Circuits, which is a remarkable achievement for the Chinese research community. And, while it is possible to run AI software using existing graphics processing chips or FPGA chips, these designs are very expensive and difficult to use in miniaturized, battery-bound devices.

The "Thinker" chip developed by Shouyi Yin's team can be embedded in devices such as smartphones, wearable devices and home robots. Yin's team also plans to release the first product to match the Thinker chip in March 2018. China is committed to becoming an innovation leader in AI in the future, and for AI technology to continue to advance, it naturally must be backed by more advanced hardware technology. More precisely, software technology and hardware technology are intertwined and progress together. Computer chips happen to be another major key technology driving the progress of artificial intelligence. The active participation of Chinese research teams in the development of chips will likewise help to promote the development of the local semiconductor industry. Yin Shouyi, who is the deputy head of the microelectronics department at Tsinghua University, said, "China has kept up with this tide (the AI tide) at the fastest pace compared to dealing with previous changes in information technology. "

In other news, at the end of January 2018, a research team from the Institute of Computer Technology of the Chinese Academy of Sciences will collaborate with a local semiconductor manufacturer to develop and produce a chip for a small group of robots, codenamed "Dadu". "Dadu has two kernels, one to support the operation of the neural network and the other to control the robot's actions. The neural kernel runs the vision algorithm without affecting the action kernel to plan the best route or the best fetch action for the robot. As chip researchers, we all have dreams, and we will see how the research progresses regardless," said Han Yinhe, director of CAS's Network Computing Laboratory and head of the robot chip project team. "

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