Princeton University's proposed project, "IMAGINE: Inverse Methods and Generative AI for Algorithmic and Non-intuitive Design Explorations in RFICs," focuses on rapid, automated design and optimization from specifications to layout. The project aims to reduce design time and cost while discovering novel design spaces that enhance RFIC performance. The team, comprising top researchers from academia and industry, employs deep learning and generative AI to create predictive models and designs for complex RFICs.
This anticipated award is through the NSTC’s Artificial Intelligence Driven Radio Frequency Integrated Circuit Design Enablement (AIDRFIC) Program. This NSTC research and development program will address the domestic RFIC (Radio Frequency Integrated Circuit) industry and is focused on the adaptation of Artificial Intelligence (AI) and Machine Learning (ML) technology for use in RF design. Its objective is the successful demonstration of AI-based tools used to improve design productivity for RFICs thus lowering the risk of further investment in commercialization of the technology.
Visit Natcast.org to learn more about the AIDRFIC Awardees.
Natcast is the purpose-built, non-profit entity created to operate the National Semiconductor Technology Center (NSTC), established by the CHIPS and Science Act of the U.S. government. The NSTC is a public-private consortium dedicated to semiconductor R&D in the United States. A key component of the CHIPS Act, the NSTC will convene the U.S. government, allied and partner nations, and organizations across the semiconductor ecosystem—including academia and businesses of all kinds—to address the most challenging barriers to continued technological progress in the domestic semiconductor industry, including the need for a capable workforce. The NSTC reflects a once-in-a-generation opportunity for the U.S. to drive the pace of innovation, set standards, and re-establish global leadership in semiconductor design and manufacturing.
Read the full press release here.