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

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 ...