Author: J. Langley

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 […]

May 29, 2019 Show & Tell Updated from Huntsville AI members on their personal or work projects. Chuck Rhoman – Mobile app with IBM Watson Photo from a phone does […]

May 22, 2019 This discussion covered selected SBIR topics that included some type of Artificial Intelligence or Machine Learning in the description. More information: STTR 19.2 SBIR 19.2 Export Control: […]