Semiconductor Engineering

EDA Makes A Frenzied Push Into Machine Learning

Machine learning is becoming a competitive prerequisite for the EDA industry. Big chipmakers are endorsing and demanding it, and most EDA companies are deploying it for one or more steps in the design ...
EDN

Machine learning in EDA accelerates the design cycle

A key point to highlight is that the trained model is only relevant to a specific type of block. If that block is a CPU on a 7nm process, it would make no sense and return no benefits to use the same ...
Semiconductor Engineering

Applying Machine Learning to EDA, FPGA Design Automation Tools

A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. “With the recent advances in hardware ...
Business Wire

Si2 Launches Survey on Artificial Intelligence and Machine Learning in EDA

AUSTIN, Texas--(BUSINESS WIRE)--Silicon Integration Initiative has launched an industry-wide survey to identify planned usage and structural gaps for prioritizing and implementing artificial ...
EDN

Machine learning in EDA accelerates the design cycle

Artificial intelligence (AI) and machine learning (ML) come in many shapes, but whatever the intelligence looks like, it is all results-focused. If there is a clear “right way” and “wrong way” to do ...