High-speed data movement will be required in future vehicles, probably including optical, but challenges persist.
A new technical paper, “Towards Structured Training and Validation of AI-based Systems with Digital Twin Scenarios,” was ...
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 ...
Moore’s Law has shifted toward advanced packaging over the past few years, but the limits of that approach are just now ...
As ATE systems become increasingly complex and data-intensive, traditional rule-based optimization methods struggle to keep ...
Liquid cooling is proving effective at cooling high-power chips, such as GPUs, but it’s creating thermal issues for other ...
Inferencing at the edge has very different needs than training large language models or large-scale inferencing in AI data ...
High‑NA EUV's reduced field size is driving new innovation in optical proximity correction and mask synthesis.
An Experimental Methodology for Quickly Discovering the Reliable Read Disturbance Threshold of Real DRAM Chips,” was ...
A new technical paper, “Oxide induced degradation in MoS2 field-effect transistors,” was published by researchers at imec and ...
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 ...
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