Keysight and Synopsys Leverage AI to Revolutionize RF Design Migration
Santa Clara, CA – June 30, 2025 – Electronics Weekly is pleased to report on a significant advancement in the field of Radio Frequency (RF) design, with leading companies Keysight Technologies and Synopsys announcing their collaborative effort to integrate Artificial Intelligence (AI) into the RF design migration process. This pioneering initiative promises to dramatically enhance efficiency, accuracy, and innovation in the development of advanced RF components and systems.
The article, published by Electronics Weekly today, details how Keysight, a global leader in electronic test and measurement solutions, and Synopsys, a premier provider of semiconductor design solutions, are joining forces to harness the power of AI. Their combined expertise is being directed towards the complex and often time-consuming task of migrating RF designs. This migration can be necessitated by various factors, including the adoption of new process technologies, the need to optimize performance, or the transition to different design platforms.
Traditionally, RF design migration has been a meticulous and labor-intensive process. Engineers often face challenges in accurately translating complex circuit parameters, ensuring performance equivalence, and verifying the integrity of the design across different environments. The introduction of AI into this workflow is expected to address these hurdles head-on.
Keysight’s strengths in advanced simulation and measurement, coupled with Synopsys’s comprehensive suite of electronic design automation (EDA) tools, create a powerful synergy. By applying AI algorithms, the companies aim to automate many of the repetitive and intricate tasks involved in migration. This could include intelligent parameter mapping, predictive performance analysis, and automated verification steps, all of which contribute to a more streamlined and less error-prone workflow.
The benefits of this AI-driven approach are multifaceted. For design engineers, it means significantly reduced design cycles, allowing them to focus on higher-level innovation rather than manual translation. This acceleration can be crucial in today’s rapidly evolving technology landscape, where time-to-market is a critical differentiator.
Furthermore, the accuracy of RF designs is paramount, especially for applications in areas such as wireless communication, radar, and satellite systems, where even minor deviations can have significant consequences. AI’s ability to analyze vast datasets and identify subtle patterns can lead to more robust and reliable migrated designs, ensuring optimal performance and adherence to stringent specifications.
This collaboration between Keysight and Synopsys underscores a growing trend within the electronics industry: the pervasive integration of AI across the entire design lifecycle. By proactively embracing AI for critical processes like RF design migration, these companies are not only advancing their own capabilities but also setting a new benchmark for the industry as a whole.
The potential impact of this initiative extends to a wide range of sectors reliant on advanced RF technology. As the demand for faster, more efficient, and more complex wireless communication systems continues to grow, the ability to quickly and accurately migrate RF designs will become increasingly vital. Keysight and Synopsys’s commitment to leveraging AI in this domain is a testament to their forward-thinking approach and their dedication to empowering the next generation of electronic innovation.
Electronics Weekly will continue to monitor the progress of this exciting development and its implications for the future of RF engineering.
Keysight and Synopsys employ AI for RF design migration
AI has delivered the news.
The answer to the following question is obtained from Google Gemini.
Electronics Weekly published ‘Keysight and Synopsys employ AI for RF design migration’ at 2025-06-30 14:39. Please write a detailed article about this news in a polite tone with relevant information. Please reply in English with the article only.