IEEE

Deep Reinforcement Learning for Smart Grid Operations: Algorithms, Applications, and Prospects

Abstract: With the increasing penetration of renewable energy and flexible loads in smart grids, a more complicated power system with high uncertainty is gradually formed, which brings about great ...

Cracking the code: How a “prediction machine” is resurrecting the Singapore Stone

Some years ago, my linguistic research team and I started to develop a computational tool aimed at reconstructing the text of ...
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 ...
IEEE

Robot path planning based on improved A* algorithm

Abstract: The A* algorithm has been widely employed in the automatic navigation of mobile robots. However, the traditional A* algorithm faces challenges in handling complex environments and ...
The Conversation

A few weeks of X’s algorithm can make you more right‑wing – and it doesn’t wear off quickly

Timothy Graham receives funding from the Australian Research Council (ARC) for the Discovery Project, 'Understanding and Combatting "Dark Political Communication"'. A new study published today in ...