Author: J. Langley

October 2, 2019 Welcome to Huntsville AI. This week we are continuing to work through some technical tutorials in preparation for the NASA Space Apps Challenge. If you are interested […]

September 25, 2019 This week we presented an Intro to AI/ML for the NASA Space Apps Challenge. This is part of multiple sessions provided by Urban Engine to help people […]

September 11, 2019 Harsh gave his first presentation for the group showing the work he is doing with learning how to apply Attention Mechanisms. This is part one of a […]

August 28, 2019 Ben gave a presentation about the issues and limitations of Artificial Intelligence and Machine Learning that you need to be aware of working with this technology. These […]

August 21, 2019 We talked about approaches to work with large datasets when training deep neural networks. Specifically, using the generator from the Keras package to provide batch-by-batch training data […]

July 31, 2019 Tonight we had an open discussion on AI for any topics the group wanted to cover. The different topics are listed below. There aren’t a lot of […]

July 17, 2019 Here’s a discussion that we had about how to deploy models to be used in an AI application. The thought process follows a pattern of providing a […]

July 10, 2019 Dr Phil Bording walked us through a couple of examples of AI in use in business applications. The examples included estimation of housing prices and mechanical failure […]

June 26, 2019 This week we will be covering the final part of RNN development to predict stock price information using previous values. This notebook is based on a tutorial: […]

June 12, 2019 From WikiPedia: A recurrent neural network (RNN) is a class of artificial neural network where connections between nodes form a directed graph along a temporal sequence. This […]