For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...

This paper introduces an innovative approach to optimizing the designs of cantilever beams for sensor applications. It combines machine learning techniques with quasi-Newton optimization methods.

Nanotechnology and machine learning are transforming energy systems by enhancing engine efficiency and sustainability. The integration of advanced nanomaterials, such as gold nanoparticles (AuNPs), ...

The first applications of AI in ocean science and maritime engineering date back to the 2000s, and a paper recently published in Ocean Engineering tracks the subsequent growth in the number of ...

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

This repository contains optimizations for two critical components of modern machine learning systems: GPU-accelerated vector operations and distributed inference pipelines. High-performance ...

Over the past two decades, route optimization software has undergone a dramatic transformation. By leveraging the latest technologies like advanced algorithms, APIs, and onboard navigation, leaders in ...

Abstract: The Real-Time Traffic Prediction and Optimization System may be described as enriched, spacious, algorithm-oriented, and designed to help contribute to the anti-symptomatic deprievement of ...