Abstract: Effectively solving multimodal multiobjective optimization problems (MMOPs) requires maintaining an optimal balance between the diversity and the convergence. Traditional algorithms often ...

This study from MIT explores eye evolution through AI simulations, uncovering how different tasks shape visual systems and ...

In the very first week of January 2026, the “Scattered Lapsus$ Hunters,” a collaboration between prolific cybercrime ...

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on ...

When students joined in virtually, I made sure to affirm their input and invite them to elaborate further,” she recalls.

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to underwater cables—and is critical for safe renewable energy development.

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Abstract: The discovery of community structure in complex networks has become a hotspot in recent years. As an NP-hard problem, community detection can be solved by multiobjective evolutionary ...

AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...

Introduction: Optimizing the operation of interconnected hydropower systems presents significant challenges due to complex non-linear dynamics, hydrological uncertainty, and the need to balance ...