Abstract: In recent years, surrogate-assisted evolutionary algorithms (SAEAs) have been extensively utilized to address expensive optimization problems. However, it becomes a great challenge how to ...

Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...

A new study published in Nature has found that X's algorithm—the hidden system or "recipe" that governs which posts appear in your feed and in which order—shifts users' political opinions in a more ...

Digital marketing, Influencer marketing, Personalization, voice search The Future of Digital Marketing: Trends to Watch in 2026 The digital marketing ...

The term has left the industry divided, with definitions shaped as much by marketing as by technical consensus.

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...

How South Korea is using AI, algorithms and automated surveillance to detect crypto market manipulation faster and at a ...