Wireless Chip design by AI
Princeton University is spearheading new wireless chip design by using AI
Designing for wireless applications is not an easy job. The higher the frequency, the weirder the behaviour of the signals – you need an experienced engineer to keep the development of the chip under control. Or you use AI!
Princeton is one of the three R&D jump-start programs for Artificial Intelligence Driven Radio Frequency Integrated Circuit Design Enablement (AIDRFIC). Other programs are awarded to Keysight Technologies and the University of Texas at Austin.
Getting skilled engineers that can keep up with the increasing demand for wireless applications is difficult. The project will use AI’s LLM and ML capabilites to design the chips.
“Fundamental research leading to technology breakthroughs has fueled U.S. innovation for decades,” said Andrea Goldsmith, dean of Princeton’s School of Engineering and Applied Science. “The visionary research proposed by our Princeton team will transform technology in wireless communications and sensing. This project is an outstanding investment by Natcast to ensure U.S. leadership in these important fields.”
“Embracing AI for radio frequency design is paramount for maintaining the United States’ leadership in technological innovation,” Natcast CEO Deirdre Hanford said in a news release. “Leveraging AI not only accelerates our research capabilities but also ensures the U.S. remains at the cutting edge of communication infrastructure.”
More information can be found here
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