How to write for AI search: A playbook for machine-readable content

Learn how to structure clear, information-rich content that LLMs can extract, interpret, and cite in AI-driven search.
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.

A geneticist is studying pythons for clues about human health and longevity

A team of researchers believes that pythons may contain clues to help treat a range of human ailments — from heart disease to muscle atrophy, and more.
IEEE

A Good First Impression for Quantum Algorithms

Abstract: What is the first quantum algorithm that students should learn? A common choice is the Deutsch-Jozsa algorithm because of its historical importance. However, the algorithm and the problem it ...
Forbes

Why AI Success Starts With First Principles—Not Algorithms

AI is advancing at an extraordinary speed. Public confidence is not. McKinsey estimates that generative AI alone could contribute trillions of dollars in annual global economic value. Meanwhile, ...
IEEE

Establish the basis for Breadth-First Search on Frontier System: XBFS on AMD GPUs

Abstract: Graphics Processing Units (GPUs) offer significant potential for accelerating various computational tasks, including Breadth-First Search (BFS). Numerous efforts have been made to deploy BFS ...
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 ...