AI delivers value by transforming data into usable intelligence—supporting capabilities such as real-time analytics, anomaly detection, predictive maintenance, and automated decision-making. Meanwhile ...

Abstract: The automated design of evolutionary algorithms (EAs) is receiving more and more attention, which considerably reduces the labor-intensive process of algorithm design demanding expertise.

Today, those shouts have been replaced by quiet screens and lightning-fast computers. The evolution of stock trading has turned what was once a noisy, human-driven process into a digital network ...

Robot applications encompass a multitude of edge computing tasks, such as image processing, health monitoring, path planning, and infotainment. However, task scheduling within such environments ...

Abstract: In the evolutionary computing community, the remarkable language-handling capabilities and reasoning power of large language models (LLMs) have significantly enhanced the functionality of ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

Large language models (LLMs) leverage unsupervised learning to capture statistical patterns within vast amounts of text data. At the core of these models lies the Transformer architecture, which ...

Zamudio explains, "The evolutionary algorithm is pretty straightforward. We start with a population of inputs that come from the specifications of a program. And then we do two things: first, mutate ...

1 State Key Laboratory of Intelligent Mining Equipment Technology, Taiyuan, China 2 School of Computer Science and Technology, Anhui University, Hefei, China In the manufacturing process of electric ...