Peking University, March 22, 2022: Recently, the 69th International Solid-State Circuits Conference (ISSCC) was held online. The Conference saw the announcement of the 2021 ISSCC awardees, and the team led by Professor Huang Ru and Associate Professor Ye Le from School of Integrated Circuits, Peking University (PKU) won the 2021 ISSCC Demonstration Session Certificate of Recognition for their work: “1.5μW 0.135pJ∙%RH2 CMOS Humidity Sensor Using Adaptive Range-Shift Zoom CDC and Power-Aware Floating Inverter Amplifier Array” . The team is the first from China to win the award.
The 2021 ISSCC Demonstration Session Certificate of Recognition
At the 2021 ISSCC, a total of 195 chip research findings were recorded, 51 of which participated in the Demonstration Session. After the Demo-Session Committee’s review, 3 teams were selected and awarded the 2021 ISSCC Demonstration Session Certificate of Recognition. Huang and Ye’s team were the first awardees, followed by the teams from Intel and Butterfly Network. This is the second award the team has received for this research, after being listed as one of the top 10 achievements of China’s semiconductors in 2021 . The project has been internationally recognized both in academia and industry.
Capacitive sensing chip is the foundational data sensing infrastructure in the era of the Industrial Internet and the age of the Internet of Everything. It has a wide range of applications in scenarios such as hygrometers, accelerometers, gyroscopes, and proximity sensing. Huang and Ye’s team developed a dynamic charge-domain high-efficiency capacitive sensing chip. The dynamic charge-domain power consumption self-sensing technology and dynamic range adaptive sliding technology improved the energy efficiency of data sensing and solved the performance degradation and reliability problems caused by complex working environments.
It set a new world record in energy efficiency for chips of the same kind and ended the foreign technological monopoly of high energy-efficient, high-quality capacitive sensing chips.
As the data source of the Artificial Intelligence of Things (AIoT) systems, the future development of artificial intelligence systems will benefit greatly from advanced efficient data sensing technology. The research team will continue to explore key issues about AIoT chips, breaking down barriers in data-sensing chip technology and pushing the boundaries of performance and efficiency. Combing the asynchronous event-driven chip structure and new integrated storage -computation circuits, the team seeks to further promote the exploration of sensing-storage-computing fusion and to contribute China’s wisdom to future AIoT systems development.
PKU doctoral student Li Heyi is the first author of the work, with Huang and Ye being co-corresponding authors. The work was supported by the National Key R&D Program of China and the National Natural Science Foundation of China.
Written by: Glenda Ho
Edited by: Ma Yaoli
Source: PKU News (Chinese)
