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 Novel Localized Coherence Rule Delay-and-Multiply Algorithm Toward Long-Range Ultrasound Imaging With Narrow Field-of-View pMUTs

Abstract: This work proposes an innovative signal postprocessing algorithm for long-range ultrasound imaging by using a narrow field-of-view (narrow-FoV) lead zirconate titanate (PZT) piezoelectric ...
IEEE

Matrix-Driven Adaptive Dual-Space Evolutionary Algorithm for Many-Task Optimization

Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...