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After long-term joint research, the Tsinghua University research team finally succeeded in breaking through the physical bottleneck of traditional chips and creatively proposed a new computing framework for photoelectric fusion. They also successfully developed the world's first fully analog optoelectronic intelligent computing chip, referred to as ACCEL. This major result was recently published in the journal Nature.
The main results of this research benefit from the efforts of Academician Dai Qionghai, Dean of the School of Information Science and Technology of Tsinghua University, Wu Jiamin, Assistant Professor of the Department of Automation, Fang Lu, Associate Professor of the Department of Electronic Engineering, and Qiao Fei, Associate Researcher. They combined technologies such as optical computing and pure analog electronic computing, and successfully broke through the physical bottleneck of data conversion speed, accuracy and power consumption in traditional chip architectures. By proposing a new computing framework, they are expected to solve international problems such as the integration of large-scale computing units and the efficient interface of optical computing and electronic signal computing.
According to actual measurement data, the computing power of the ACCEL chip in intelligent visual target recognition tasks exceeds that of current high-performance commercial chips by more than 3,000 times. This breakthrough opens up a new path for the development of ultra-high-performance chips. The emergence of ACCEL chips will greatly promote the development of artificial intelligence, machine learning and computer vision and other fields. It will provide more powerful computing power for artificial intelligence applications, making it possible to solve complex problems and process massive data.
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China’s AI chip market continues to prosper, with GPU market share ranking first
In the next few years, China's artificial intelligence chip industry will continue to grow and develop. GPU, FGPA, and ASIC are the main development directions of this industry. GPUs were originally used for graphics rendering, but as the digital economy evolved, their flexibility and programmability increased, allowing developers to leverage their power to accelerate additional workloads in areas such as high-performance computing and deep learning. According to IDC data, in the first half of 2021, in China's artificial intelligence chip industry, GPU became the first choice for data center acceleration, accounting for more than 90% of the market share, while non-GPU chips such as ASIC, FPGA and NPU The market share is relatively small, with an overall market share of about 10%.
The research team of Tsinghua University successfully proposed a new computing framework for optoelectronic fusion by breaking through the physical bottleneck of traditional chips, and developed a fully analog optoelectronic intelligent computing chip ACCEL. The emergence of this major achievement will bring new possibilities to the technology industry and promote the development of artificial intelligence, machine learning, computer vision and other fields. The ultra-high performance of ACCEL chips will provide more powerful computing power for artificial intelligence applications, making it possible to solve complex problems and process massive data.
Foresight Economist APP Information Group
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