None of us will build a large organizational workforce without a structure and defined roles. We shouldn't do that with the ...

ISSCC addressed challenges for electronics to meet AI demand, AI to speed up the design and training the next generation workforce on chip design.

For decades, the design of leading-edge chips has been a high-wire act—balancing tight deadlines, sophisticated workflows, and the relentless need to consult scattered, often outdated, sources of ...

AI-driven generative design automates the exploration of thousands of design permutations, significantly reducing development cycles and costs. Integration of simulation and manufacturing constraints ...

Rendered model showing a complex 3D structure made up of thousands of repeating microscopic patterns. By teaching an AI model to predict the behavior of these patterns, the Drexel team can design ...

Near-simulation-level precision at AI scale supports advanced engineering programs, including Sceye’s stratospheric platforms ...

Drug discovery has traditionally been a reductive process—narrowing down, filtering out, and optimizing within established ...

“The selection helper identifies additional edges that the user may want to chamfer or fillet based on the current selection. This reduces the tedious task of selecting many edges manually.” It’s a ...

Rising power demands threaten AI progress, driving the need for smarter, leaner models.