IEEE

A Deep Reinforcement Learning-Based Adaptive Large Neighborhood Search for Capacitated Electric Vehicle Routing Problems

The Capacitated Electric Vehicle Routing Problem (CEVRP) poses a novel challenge within the field of vehicle routing optimization, as it requires consideration of both customer service requirements ...

Measuring process over product: AI approach assesses learning processes

Artificial intelligence (AI) is profoundly reshaping education worldwide. While AI tools increasingly support students in ...
Scientific Research Publishing

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, and Research Innovation ()

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...
IEEE

A Co-Evolution Algorithm With Dueling Reinforcement Learning Mechanism for the Energy-Aware Distributed Heterogeneous Flexible Flow-Shop Scheduling Problem

Abstract: The production process of steelmaking continuous casting (SCC) is a typical heterogeneous distributed manufacturing system. The scheduling problem in heterogeneous distributed manufacturing ...
Communications of the ACM

From Block-Based Programming to Vibe Coding

The path from block-based programming to vibe coding represents a shift from mastering the mechanics of implementation to mastering the intent of computation.
The Conversation

AI doesn’t just help us think, it thinks instead of us: what this means for the process of learning

Deep in Book VII of Plato’s Republic, Socrates describes prisoners chained inside a cave, mistaking shadows cast on a wall by firelight for reality itself. They name the shadows, debate them and ...
NPR

Bumblebees have tiny brains but they can solve problems like chimps and elephants

For new discoveries, everyday mysteries, and the science behind the headlines, follow NPR's ShortWave podcast . Over a century ago, the German psychologist Wolfgang Köhler conducted what became a ...