Based CPU-GPU Architecture with Replay-Driven Simulation and Emulation,” was published by researchers at Intel, Nvidia and ...

As ATE systems become increasingly complex and data-intensive, traditional rule-based optimization methods struggle to keep pace. In this Semicon Korea presentation, Cohu’s Wai-Kong Chen will be ...

A new technical paper, “Performance Analysis of Edge and In-Sensor AI Processors: A Comparative Review,” was published by University of Austria and ETH Zurich. Abstract “This review examines the ...

Inferencing at the edge has very different needs than training large language models or large-scale inferencing in AI data centers. Many edge devices run on a battery. They’re price-sensitive, and ...

UALink data exchange and control; AI sovereignty; 3D-IC thermal behavior; UART security; SystemVerilog coverage extensibility.

An Experimental Methodology for Quickly Discovering the Reliable Read Disturbance Threshold of Real DRAM Chips,” was published by ETH Zurich and Rutgers University. Abstract “State-of-the-art DRAM ...

But now, with this new platform, we can create thousands of individually controllable laser beams that can interact with the ...

A new technical paper, “Towards Structured Training and Validation of AI-based Systems with Digital Twin Scenarios,” was ...

AI data centers are starting to replace copper with co-packaged optics in an effort to reduce energy consumed per bit and ...

A new technical paper, “Oxide induced degradation in MoS2 field-effect transistors,” was published by researchers at imec and ETH Zurich. Abstract excerpt “Transition Metal Dichalcogenides (TMDC) are ...

AI has been used in EDA for many years for the core algorithms in tools, but it’s getting smarter and more optimized with the rollout of generative and agentic AI. As it evolves and improves, hardware ...

AI workloads require rapid access to vast amounts of data, made possible by integrating HBMs. This approach, combining two, ...