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

A Phase-Compensation-Based Method for Improving the Centroiding Accuracy of Interferometric Star Trackers

Abstract: For interferometric star trackers operating under broadband conditions, the zeroth-order diffraction from the Ronchi grating significantly degrades centroiding accuracy. To address this, we ...
IEEE

A Gait Phase Detection and Gait Spatio-temporal Features Extraction Method Based on the Inertial Measurement Unit

Gait features and phases are widely used in medical diagnostics to assess a patient’s walking ability. In addition, gait features and phases are analyzed for gait recognition as well as for the ...