Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
IEEE

Research on Multifault Testing Method for MIV Based on Grid Search and Random Forest

Abstract: With the fast development trend of highly integrated electronic products, as the key technology of 3-D interconnect circuits, the research on monolithic intertier via (MIV) testing ...
GitHub

Better Math in Callouts & Blockquotes

This is an Obsidian.md plugin to add better Live Preview support for math rendering inside callouts & blockquotes. Note: The feature of this plugin was originally a part of LaTeX-like Theorem & ...
IEEE

Fault Diagnosis Method for Power Transformers Based on Improved Golden Jackal Optimization Algorithm and Random Configuration Network

Abstract: The problem of the low accuracy of Dissolved Gas Analysis (DGA) in diagnosing transformer faults is addressed by proposing an Improved Golden Jackal Optimization (IGJO) based Stochastic ...