Enabling EDA Flow Automation through Microservice-Based LLM Agents” was published by researchers at Duke University and University of Maryland. Abstract “Modern Electronic Design Automation (EDA) ...

Accuracy Trade-Offs in Massive MIMO Signal Detection Using SRAM-Based In-Memory Computing” was published by researchers at ...

Enabling Power Gating in Neural Processing Units” was published by researchers at the University of Illinois Urbana-Champaign ...

Programmable chip-to-chip photonic fabrics in multi-accelerator servers for ML” was published by researchers at Cornell ...

A new technical paper titled “Silent Data Corruption by 10x Test Escapes Threatens Reliable Computing” was published by ...

The promise, reality, and evolution of artificial intelligence in semiconductor manufacturing.

Is AI using too much power? Some people think so, and believe the easy gains in power reduction have already been made.

A single memory failure in a hyperscale AI cluster can cascade into hours of lost compute time.

CBFC uses two cyclic counters to track the credits consumed and freed at sender and receiver, respectively.

Adaptive optimization algorithms promise better results and deeper insight into why certain designs perform better than ...

Neural Super Sampling (NSS) directly addresses these challenges. NSS is a next-generation AI-powered upscaling solution. It ...

Confidentiality, to a lesser extent, and integrity, to the greatest extent, are the most important considerations with AI ...