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

Researchers from North Carolina State University and Iowa State University demonstrated a technique for self-assembling ...

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

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 ...

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

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

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

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

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.

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