Abstract: Large Language Models (LLMs) excel at general-purpose reasoning by leveraging broad commonsense knowledge, but they remain limited in tasks requiring personalized reasoning over ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Editor’s note: Sreekumar Somasundaram is a senior supply chain technical program manager at AWS. This article and its content was created prior to his current position with AWS. Implementing a ...

Making changes to your eating, exercise, sleep, and social behaviors may help improve your overall health and prevent conditions such as obesity, heart disease, diabetes, and cancer. Your “lifestyle” ...

Small to medium-sized businesses want to use artificial intelligence (AI) to streamline workflows, reduce manual tasks and improve customer experiences. But many IT teams are stuck on how to implement ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...

A. Schematic of Heron’s two levels of operation. Left shows a Knowledge Graph made of Nodes with Names, named Parameters and named Input/Output points. Nodes are connected with links (Edges) that ...