This approach can make designs better and less expensive, but it will require a huge amount of work and more sharing of data. Machine learning is beginning to have an impact on the EDA tools business, ...

Many tasks in EDA could be perfect targets for machine learning, except for the lack of training data. What might change to fix that? Over the past few years, machine learning (ML) has evolved from an ...

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 ...

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 ...

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 ...

AUSTIN, Texas, April 16, 2020 — Silicon Integration Initiative has launched an industry-wide survey to identify planned usage and structural gaps for prioritizing and implementing artificial ...

As an engineering director leading research projects into the application of machine learning (ML) and deep learning (DL) to computational software for electronic design automation (EDA), I believe I ...