Physical AI poses a host of new challenges for chip engineers. These systems contain a mix of compute elements, which ...

An analytics-driven approach leveraging integrated industry leading technologies targeting advanced node devices.

Fiber alignment, connector durability, and simultaneous optical and electrical testing pose challenges for high-volume ...

Fab workflow connects GDS layout import, 3D process simulation, GPU-accelerated FDTD, design of experiments, with AI-based ...

From server to rack; AMBA CXS; digital twins; edge AI development loop; satellite power; global talent challenges.

Plus, agentic EDA and AI-generated analog layout, small chip fabs, diamond-based defect inspection, large-area nanoimprint ...

Physical AI is the deployment of machines with autonomy, acting within the real world. It is not a single product, but a ...

Researchers at Argonne National Laboratory and the University of Illinois Urbana-Champaign published a technical paper titled ...

Researchers at Missouri University of Science and Technology published “Can Autonomous Vehicles Keep Their Cool? A Survey of ...

Researchers at ETH Zürich and New York University published a technical paper titled “Understanding the Power Consumption of ...

Synopsys CEO Sassine Ghazi talks about AI agents, the limits of autonomous engineering, digital twins, and the challenges ...