Marketeam.ai Unveils RL-KPI at NVIDIA GTC: Breakthrough AI Training Method Extends Deterministic Reward Learning to Non-Deterministic Business Outcomes

On stage, at NVIDIA GTC 2026, Marketeam.ai unveiled RL-KPI (Reinforcement Learning with Key Performance Indicators), a ...
Mirage News

New Strategy Boosts 3D Printing of Strong Glass-Ceramics

In recent years, lithium disilicate glass-ceramics have attracted considerable attention from dental ceramics researchers owing to their exceptional ...
Que.com on MSN

AI-guided LNP design for targeted in vivo mRNA delivery

Messenger RNA (mRNA) therapeutics have moved from a promising idea to clinical reality, accelerating vaccine development and opening new paths ...
Scientific Research Publishing

Seismic Multiple Attenuation Method Based on Spectral Subtraction and Convolutional Dual Attention Mechanism ()

1 College of Science, Tianjin University of Technology and Education, Tianjin, China. 2 Lvliang Vocational and Technical College, Lvliang, China. Multiple reflections in seismic exploration data ...
Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
Frontiers

Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...
IEEE

Multi-Objective Optimization of Permanent Magnet Synchronous Motor Considering Electromagnetic-Structural Coupling

Abstract: This paper proposes a multi-objective optimization method based on electromagnetic-structural coupling for permanent magnet synchronous motor. The proposed method is aimed at simultaneously ...
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 ...