Author: J. Langley
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SBIR 2020-3
September 15, 2020 The Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs are highly competitive programs that encourage domestic small businesses to engage in Federal Research/Research […]
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Doc2Vec Update
July 29, 2020 This notebook is a demonstration of using Doc2Vec as an approach to compare the text of bug reports from an open source Bugzilla project. The Doc2Vec model […]
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Integrating AI and AR
July 29, 2020 Thoughts on AR/AI Integration Here’s a great article by Adobe that covers some of the ways that they are using an integrated AI/AR approach. Another good starting point is […]
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Interpretability in Machine Learning
April 15, 2020 Ben lead the talk covering chapter 2 of the Machine Learning Intpretability book. The discussion centered on why interpretability in machine learning matters and the different tradeoffs encountered when […]
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Fast.AI Lesson 3
March 25, 2020 For this session, we covered the results of the Fast.AI Lesson 3 and learned about multi-label classification with a CNN. The full notebook is included in this […]
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Group Project (Parts 1-3)
March 4, 2020 For 3 weeks, we got together and discussed a group project. The intent is to take the output of our Fast.ai lesson 1 model and make it […]
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Fast.AI Lesson 2
February 26, 2020 Agenda: Welcome / Intro Fast.AI Lesson 2 Next Sessions Starting point for Lesson 2 Link to Python Notebook in Colab Get the instructions for setting up Colab for Fastai HERE […]
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Huntsville AI Goes to College
February 11, 2020 The Huntsville AI group gave a presentation on AI/ML at the University of Alambama Huntsville ACM chapter meetup. Here are the notes from the meeting: Huntsville AI […]
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Fast.AI Lesson 1
January 29, 2020 Agenda: Welcome / Intro Fast.AI Lesson 1 Next Sessions Fast.AI Lesson 1 Link to Python Notebook in Colab Get the instructions for setting up Colab for Fastai HERE Don’t […]
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Object Recognition Face-off
January 22, 2020 Object Recognition Face-off This week we will start a series of tutorials intended to evaluate different frameworks for object detection. Rather than just looking at the various […]