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.
IEEE

Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods

Abstract: Isosurface visualization is fundamental for exploring and analyzing 3D volumetric data. Marching cubes (MC) algorithms with linear interpolation are commonly used for isosurface extraction ...
Digit

Two brothers design robot to break world record in solving Rubik’s Cube: Here’s how

When I read about the Pidden brothers and their record-breaking robot, my reaction was equal parts awe and competitive instinct. As a cuber myself, I’ve spent more hours than I care to count staring ...
IEEE

Iterative Space-Cutting Fast Marching Tree Algorithm for Obstacle-Aware Path Planning in Focused Ultrasound Robotic Systems

Abstract: Magnetic Resonance Imaging-guided High Intensity Focused Ultrasound (MRI-HIFU) requires precise acoustic path planning to ensure safety. This study proposes an Iterative Space ...
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 ...