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Chip Industry Technical Paper Roundup: Jan 12

Source

SemiEngineering

Published

TL;DR

AI Generated

The article discusses various technical papers recently added to Semiconductor Engineering's library, covering topics such as challenges and research directions for large language model inference hardware by Google, aging-aware steepening of fault coverage in scan-based transition fault tests by Purdue University, cryogenic ultra-thin body SiGeSn transistors, physical AI at the edge by Arizona State University, neuromorphic hardware, 2.5D flip-chip packages with thermal-mechanical optimization, gradient electronic landscapes in van der Waals heterostructures, and acoustic side-channel attacks. These papers delve into cutting-edge advancements in the chip industry, exploring innovative hardware solutions and research directions.