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 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

Understanding statistics and data sets can sometimes be challenging, especially because it’s hard to visualize data changes in your head and analyze them effectively. That’s where Line Graphs become ...

Global consumer media usage, including all digital and traditional media channels, increased 2.4% in 2024 to an average of 57.2 hours per week, following a sharp deceleration in time spent with media ...

To prevent deadlocks, operating systems use deadlock avoidance techniques, which anticipate the possibility of a deadlock and take action to avoid it before it occurs. In this blog, we’ll explore key ...

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...