InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
IEEE

Two-Stage Multi-Objective Optimization for Integrated Energy System Considering Waste Disposal

Abstract: Under China's “Dual Carbon” goal and “ZeroWaste City” initiative, the low-carbon operation of integrated energy systems has gained increasing attention, accompanied by the maturation of ...
InfoQ

Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Scientific Research Publishing

Sharma, S. and Kumar, V. (2022) A Comprehensive Review on Multi-Objective Optimization Techniques: Past, Present and Future. Archives of Computational Methods in Engineering ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Scientific Research Publishing

Ziar, H. (2024) Protocol to Simulate Crystalline Si-Based Single and Multi-Junction Solar Cells under Standard Test and Real-World Conditions via MATLAB Scripts. STAR Protocols ...

ABSTRACT: This study uses TCAD numerical simulation to evaluate how key absorber parameters in Cu(In, Ga)Se2 (CIGS) thin-film solar cells influence device performance, with the objective of ...
IEEE

A MATLAB Code for Adaptive Fuzzy Campus Placement based Optimization Algorithm

Abstract: This paper presents a MATLAB code for Adaptive Fuzzy Campus Placement based Optimization Algorithm (AFCPOA), a novel approach designed to address the solutions to single and multi-objective ...