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 ...

Nature finds ways to realize multi-functional surfaces by modulating nano-scale patterns on their surfaces, enjoying transparent, bactericidal, and/or anti-fogging features. Therein height ...

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, ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

The current generation of neural networks doesn’t analogously reflect the actual operation of the brain, which has led neuroscientists to research networks that more closely resembled... Bringing AI ...