Demystifying Machine Learning and Artificial Intelligence for the Defense Community

Aug

13

1:00 - 2:30 p.m. ET

Learn about machine learning and artificial intelligence, their synergies with structured experimentation, and the fast surrogate modeling of complex computer simulations.

You’ve heard the buzzwords, which are widely considered to be mission-critical for the defense community. But what do they mean and how can we apply them effectively?

In many cases, these buzzwords are just new names for tried-and-true statistical approaches and techniques but adapted to take advantage of increased data availability and tackle increased data complexity. For example, the supervised and unsupervised learning at the heart of machine learning rely on well-established statistical modeling techniques: regression, classification and clustering.

Due to the ubiquity of streaming sensors and growing storage infrastructure, you now have more complex data than ever before. And your leadership may be turning to machine learning (ML), artificial intelligence (AI), Functional Data Analysis, computer simulation and fast surrogate models to find insights in data.

Join us for a livestream exploring these topics. You’ll find guidance and stories about how to get started with ML techniques, in combination with best practices in data visualization and design of experiments for both real and computer-generated data, to make the most of your data and drive more value for your organization.

Featured Keynote

Laura Freeman

Laura Freeman

Director, Intelligent Systems Lab, Hume Center for National Security and Technology, Virginia Tech

Dr. Laura Freeman conducts research that brings together cyber-physical systems, data science, artificial intelligence and machine learning to address critical areas of national security. Freeman is a Research Associate Professor at the Virginia Tech Hume Center and leads a research program in Artificial Intelligence Assurance for the Commonwealth Cyber Initiative. She is co-author of the book Design of Experiments for Reliability Analysis and recipient of the 2017 Andrew J. Goodpaster Award for Excellence in Research from the Institute for Defense Analyses.

Panel Discussion

A mastery of ML and advanced modeling techniques is just one component of solving problems, optimizing processes and driving innovation. Hear real-world examples from leaders in the defense community during a discussion with:

  • Laura Freeman, Intelligent Systems Lab, Hume Center for National Security and Technology, Virginia Tech
  • Raymond R. Hill Jr., Air Force Institute of Technology
  • James Wisnowski, Adsurgo

 

What will you learn?

These techniques are not a panacea. Data is messy. It is often cobbled together from disparate sources. And if the goal of modeling is to increase understanding that leads to appropriate and decisive action, you need to know how to clean dirty data, make it analysis-ready, and communicate and share your findings through effective data visualizations. You also need to understand the critical role of structured experimentation for gathering information-rich data, speeding innovation, and saving time and resources.

You'll gain a better understanding of:

 
  • How models can be developed for physical systems as well as adaptive adversaries. Review the life cycle of an empirical model, from data to deployment.
  • The different types of empirical models, their structure, strengths and weaknesses.
  • Common ML techniques and models, and how they relate to empirical models.
  • Best practices for building predictive and explanatory models quickly.
  • How to start ML initiatives or integrate them within existing programs.
  • What should be automated – and what shouldn’t.
  • Applications for building models with streamed sensor data and Functional Data Analysis.
  • Building fast surrogate ML models and conducting computer simulations to reduce testing costs and speed time to decision.
  • Text mining for unstructured data and its applications.
  • The power of clear data visualizations for communicating with decision makers.

 

Meet the Speakers

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