IEEE

High-Precision Debris Flow Scale Prediction Model Based on CIHHO Algorithm Combined With Multilayer Perceptron Neural Network

Abstract: This study focuses on improving the precision and global search capabilities of the Harris Hawk Optimization algorithm when dealing with debris flow disasters. The enhanced algorithm, called ...
IEEE

Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms

Abstract: Urban traffic congestion remains a critical challenge for smart city development, necessitating innovative approaches to improve traffic flow and reduce delays. This study presents a novel ...
GitHub

LEAP: Evolutionary Algorithms in Python

LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.
NextBigFuture

Andrej Karpathy on Code Agents, AutoResearch and the Self Improvement Loopy Era of AI

Andrej Karpathy is pioneering autonomous loop” AI systems—especially coding agents and self-improving research agents—while ...
Digital Content Next

Algorithms alter political information flow on X feeds

How platforms rank content has become a central issue in the digital information ecosystem. Algorithms determine what millions of users see each day, shaping which voices gain visibility and how ...
GitHub

LLM4AD: Large Language Model for Algorithm Design

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...