EurekAlert!

Real-time multi-objective charging scheduling unlocks efficient renewable integration and grid-friendly electric vehicle operations at public stations

The global surge in electric vehicle adoption stands as a cornerstone of efforts to combat climate change and reduce reliance ...

Is this the AI replacing marketing professionals?

EVA Live (Nasdaq:GOAI) has launched NeuroServer, a purpose-built AI system trained specifically for digital advertising rather than built on off-the-shelf AI models.
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.

Newest Design Household waste bin manufacturer vs. Conventional Design Suppliers

JIANGMEN, GUANGDONG, CHINA, January 26, 2026 /EINPresswire.com/ -- As household product markets adapt to modern living, ...
IEEE

A Multi-Objective Antenna Optimization Method Based on the Surrogate Model-Assisted Deep Reinforcement Learning

Abstract: A novel multi-objective antenna optimization method based on the surrogate model-assisted deep reinforcement learning (SADRL) is proposed. The method is divided into three stages: coarse ...
Scientific Research Publishing

Ching, L. and Masud, A.S.M. (1979) Multiple Objective Decision Making-Methods and Applications.

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

Multi-Objective Evolutionary Optimization for Qujing’s Cultural-Tourism Routes ()

Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning in Qujing ...
IEEE

Multi-Objective Optimization Design of an Axial-Flux Permanent Magnet Flywheel Machine Using Fuzzy Inference Taguchi Method

Abstract: The Taguchi method is an efficient method for machine optimization design. Unfortunately, the conventional Taguchi method is hard to obtain a complete set of nondominated solutions due to ...