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 ...

The alternative text for this image may have been generated using AI. Fig. 2: Architecture of the multi-physics surrogate model. The alternative text for this image may have been generated using AI.

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 ...

Kirigami-engineering has become an avenue for realizing multifunctional metamaterials that tap into the instability landscape of planar surfaces embedded with cuts. Recently, it has been shown that ...

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, ...

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 ...