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 ...

Electrical engineers have harnessed the power of machine learning to design dielectric (non-metal) metamaterials that absorb and emit specific frequencies of terahertz radiation. The technique drops ...

Designing AI systems that move from prototype to production demands more than good models — it requires proven architectural patterns. From decoupling training and inference to using feature stores, ...

For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

A lithographic (litho) hotspot is a defect on a wafer that is created during manufacturing by a combination of systematic process variation and resolution enhancement technology (RET) limitations.

Having developed many end-to-end machine learning (ML) and artificial intelligence (AI) systems as an AI scientist, AI product owner or chief scientist, I’ve seen how software engineering managers ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Google is using machine learning to help design its next generation of machine learning chips. The algorithm’s designs are “comparable or superior” to those created by humans, say Google’s engineers, ...