An analytics-driven approach leveraging integrated industry leading technologies targeting advanced node devices.
Fab workflow connects GDS layout import, 3D process simulation, GPU-accelerated FDTD, design of experiments, with AI-based ...
Synopsys’ Neeraj Paliwal considers how AI workloads are shifting key design and optimization considerations from the server ...
Fiber alignment, connector durability, and simultaneous optical and electrical testing pose challenges for high-volume ...
Researchers at Argonne National Laboratory and the University of Illinois Urbana-Champaign published a technical paper titled ...
Opimizing embedded memory IP for RibbonFET and PowerVia.
Physical AI is the deployment of machines with autonomy, acting within the real world. It is not a single product, but a ...
Researchers at the UC Berkeley, Samsung Electronics, and Intel published “Nanoelectromechanically Gated Gain Cell eDRAM.” Abstract Excerpt: “The memory wall and the slowdown of static random access ...
Researchers at Missouri University of Science and Technology published “Can Autonomous Vehicles Keep Their Cool? A Survey of ...
The shift-left approach to via optimization involves a specialized enhancement platform that operates on the design database ...
Open interfaces and interoperability allow designers to choose technologies based on the needs of the system. AI ...
Autonomous chip design is advancing, but human engineers remain essential — at least for now. Systems companies are pressuring EDA to shorten chip design cycles so they can keep pace with rapidly ...
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