Moore’s Law has shifted toward advanced packaging over the past few years, but the limits of that approach are just now coming into focus. AI and HPC designs are growing larger ...
Liquid cooling is proving effective at cooling high-power chips, such as GPUs, but it’s creating thermal issues for other nearby chips that previously benefited from the airflow ...
Analysis of the Evolving Landscape of Ultra-low-power Edge AI Processors (U. of Austria, ETH Zurich)
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 ...
A new technical paper, “Towards Structured Training and Validation of AI-based Systems with Digital Twin Scenarios,” was ...
Based CPU-GPU Architecture with Replay-Driven Simulation and Emulation,” was published by researchers at Intel, Nvidia and Synopsys. Abstract “Integration of CPU and GPU technologies is a key enabler ...
As ATE systems become increasingly complex and data-intensive, traditional rule-based optimization methods struggle to keep ...
High‑NA EUV's reduced field size is driving new innovation in optical proximity correction and mask synthesis.
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 ...
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 ...
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 ...
Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...
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