Keysight Technologies, Inc. announces an EDA software portfolio that enhances AI-based designer productivity, dramatically reducing design times for complex RF and chiplet products.

Keysight recently announced a new portfolio of electronic design automation (EDA) software that enables engineers to innovatively address the demands of next-generation technologies.

As the electronics industry races to develop advanced solutions for 5G/6G and data center applications, Keysight’s suite of EDA tools leverages AI, machine learning (ML), and Python integration to dramatically reduce design times for complex RF and chiplet products.

Keysight's EDA 2025 software addresses key development lifecycle challenges by improving data manipulation, integration, and best-in-class simulator control, enabling engineers to build efficient workflows across multiple tools.

AI-driven workflows and high-performance computing capabilities reduce time to insight, enabling engineers to move from simulation to validation and compliance faster and more confidently.

For digital interconnect simulation, the software provides end-to-end component models and measurement capabilities that comply with digital standards, creating efficient, high-accuracy digital twins to solve complex digital electronics design problems.

RF circuit design in the EDA 2025 software portfolio includes Python integration and multi-domain simulationAccelerate your RF design cycle with an open, automatable workflow that includes Sean.

The Python toolkit enables you to integrate measured load pool data from various files and formats into a single dataset to quickly train AI/ML models.

High-speed digital design creates accurate digital twins for standards-specific SerDes designs such as chiplets, memory, USB, and PCIe using the Advanced Design System (ADS) 2025 release, while device modeling and characterization reduces model re-centering time by 10x with AI/ML capabilities in the IC-CAP 2025 release and streamlines and automates the modeling process with Python integration.

“AI is changing the way engineers approach complex design challenges, delivering real productivity gains by automating traditionally time-consuming tasks, freeing engineers to focus on innovation rather than repetitive improvements,” said Nilesh Kamdar, general manager of Keysight EDA Design and Verification.

“The foundation for practical applications of AI and ML is to first have open and interoperable workflows, and to provide turnkey solutions tailored to specific applications,” he continued. “It’s a very exciting time, and AI and ML will be huge drivers of design innovation going forward.”

“With this release, engineers can easily take data from measurements or swept simulations and train a neural network model that can then run very quickly in simulation,” said Stephen Slater, Keysight product management manager. “This opens up new possibilities for abstracting and co-optimizing large portions of RF designs, accelerating development processes and reducing design time.”“It will dramatically accelerate Seth,” he said.