A new technical paper titled “Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving ...

Design and AI companies are using a range of tools to help graduates become productive more quickly. Some are feeding their ...

Third-party chiplets are hitting the market as chiplet models evolve. Who's calling the shots isn't clear yet.

Where digital and analog designs are overlapping, and why it's becoming more difficult to ensure they work as expected over ...

Technology Co-Optimization for Dense Edge Architectures using 3D Integration and Non-Volatile Memory” was published by ...

The dream may be to have generative AI write RTL, but text is only one of the necessary things AI must understand to help ...

Any optimization problem must have a clear, unambiguous specification and a way to define the goodness of the solution. Today ...

Pooling CPU Memory for LLM Inference” was published by researchers at UC Berkeley. Abstract “The rapid growth of LLMs has ...

Despite its cost and complexity, HBM offers significant advantages when performance and bandwidth are critical.

LLMs and machine learning are automating expertise in an aging workforce.

Factors that impact mask lifetime, the future role of actinic inspection, and minimum mask dimensions for high-NA EUV.

A technical paper titled “Detection of defective chips from nanostructures with a high-aspect ratio using hyperspectral ...