Cadence Design Systems

Cadence Design Systems has expanded its use of machine learning for EDA into PCB design, joining a growing number of suppliers who have decided it is a sector that needs the AI treatment.

Cadence has brought the inputs for its AI-driven tools under the umbrella of a big-data collection platform and added functional verification to the list of products that use machine learning.

Intel's Pathfinder for RISC-V is intended to boost the use of the architecture among a wider range of SoC design teams.

As the project that funded OpenRoad draws to a close, experts pondered its wider future at the 59th DAC.

Cadence president expects expanded role for reinforcement learning in tool portfolio and looks for help on AI for verification.

Thermal-simulation specialist Future Facilities has agreed to be acquired by Cadence Design Systems.

Cadence has used machine-learning techniques originally developed for its Cerebrus tool to build software that can speed up multiphysics analysis.

In a panel at this week’s DVCon Europe, experts described a number of issues facing teams looking to incorporate machine learning in logic verification flows and why some of those efforts will not pay off while others succeed.

Cadence has built a unified database to support a group of tools to support the planning and implementation of 3DIC designs.

Cadence has organized its machine-learning platforms into three families intended to cover a wide range of on-device AI applications.