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 ...

Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
IEEE

Rapid Multiobjective Optimization Strategy of TSV-Based 3-D Inductor Using Vector Fitting and Evolutionary Algorithm

Abstract: In this work, an effective and efficient optimization strategy for 3-D inductors based on through-silicon via (TSV) is proposed. This strategy is based on the nondominated sorting genetic ...
IEEE

A Purpose-Oriented 3-D Voronoi Algorithm for Deployment of a Multitype Sensor Network in Complex 3-D Indoor Environments in Support of the Mobility of People With Motor ...

Abstract: Sensor networks are increasingly used for creating smart interactive environments to support a wide range of applications, including mobility, transportation, security, and emergency ...
Frontiers

Generation of rule-based matrices with the matRiks package: a tutorial

Many authors have long been engaged in the automatic generation of test items or stimuli, recognizing their potential for improving test efficiency, scalability, and psychometric quality. Pioneering ...