Semiconductor Engineering

Using Data And AI More Effectively In EDA

EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.
Linux Journal

Unlocking Data Science Potential Understanding Machine Learning and Data Analysis with JupyterLab

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...
Embedded

Cadence hails EDA 2.0 with unified data and AI driven verification

Cadence Design Systems has launched a data platform that pulls in the masses of data being collected by EDA tools, and is using this to enable a suite of AI-driven verification applications that aim ...
Semiconductor Engineering

Challenges Grow For Data Management And Sharing In EDA

Semiconductor Engineering sat down to talk about more openness in EDA data, how increased complexity is affecting time to working silicon, and the impact of geopolitics, with Joseph Sawicki, executive ...
The Florida Times-Union

AMIQ EDA Gives AI Agents Access to Essential Design and Verification Data

This release is a major milestone for both our team and our users. DVT MCP Server brings us even more firmly into the modern AI-assisted world of chip design and verification.” — Cristian Amitroaie, ...