video1.0<iframe src="https://www.loom.com/embed/f80bb9ca10e64af1b73456e9c7980bf8" frameborder="0" width="2560" height="1920" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>19202560Loomhttps://www.loom.com19202560https://cdn.loom.com/sessions/thumbnails/f80bb9ca10e64af1b73456e9c7980bf8-00001.gif648.9333333333341In this video message, I will provide an overview of symbolic AI and specifically focus on the Narrowbridge library. Symbolic AI is a different approach to artificial intelligence compared to machine learning. While machine learning algorithms learn from data, symbolic AI algorithms are given explicit rules to follow. Narrowbridge is a library I have developed that implements the Raythe algorithm and a domain-specific language called Sanskrit. I will explain how the algorithm works, including the concept of alpha and beta networks. I will also demonstrate how to build an algorithm using Narrowbridge and provide examples of its applications, such as dynamic pricing and workflow automation. Please note that the syntax for writing rules in Narrowbridge is specific, so attention to detail is important.