Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

Add Yahoo as a preferred source to see more of our stories on Google. WASHINGTON (DC News Now) — A new FlexJobs study found that more than a fifth of U.S. workers have not used a single vacation day ...

In 1945, as the first atomic bomb exploded in the New Mexico desert, Enrico Fermi stood miles away, holding a few scraps of paper. As the shockwave rolled toward him, he dropped the papers and watched ...

Master problem-solving with a simple, powerful 3-step approach that works across all languages and challenges. Whitefish crash has Michigan fishers on the brink: ‘It makes you want to cry’ Donald ...

In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships, Large ...

Designed to bolster retirement savings, catch-up contributions give you an opportunity to fast-track your financial readiness before you actually retire. Yet many people either underutilize them or ...

Gold prices are shining brighter than ever in 2025, captivating investors as global economic uncertainties fuel its reputation as the ultimate safe-haven asset. This recent surge in gold's value ...

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...

If you’re a federal employee who started working for the government in 2015 or later and you’ve never adjusted your allocations in your Thrift Savings Plan account, then you’re entirely invested in ...

This project solves a toy distribution optimization problem using linear programming. The goal is to maximize the number of toys distributed to children while respecting constraints related to factory ...