AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Edutopia

Making Use of a Worked Example to Improve Learning

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

AI Can Solve Many Complex Problems, So Why Isn’t Science Moving Faster?

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...
EurekAlert!

Streaming algorithms for triangle counting: adversarial robustness and the weighted case

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...
IEEE

A Two-Stage Learning-Driven Many-Objective Memetic Algorithm for Solving the Workflow Scheduling Problem in Cloud Environment

Abstract: With increasing complex workflow application and computational resources requirement, distributed computing has attracted growing attention. Meanwhile, cloud computing has emerged as a ...
GitHub

problem-solving-algorithms

This repository contains the complete specification, prompts, and generation system for the DSA Master Curriculum v12.1, a 19-week, narrative-first, institutional-grade Data Structures & Algorithms ...
GitHub

problem-solving-patterns

This repository contains the complete specification, prompts, and generation system for the DSA Master Curriculum v12.1, a 19-week, narrative-first, institutional-grade Data Structures & Algorithms ...
IEEE

Solving the Problem of Vehicle Routing Problem With Time Window via Dual Adaptive Genetic Algorithm

Abstract: To address the Vehicle Routing Problem with Time Windows (VRPTW), this paper presents a novel Dual Adaptive Genetic Algorithm (DAGA). While numerous metaheuristic algorithms have been ...