Tuesday, 10 November 2020
Introduction to Computer Vision for Surveillance Systems
10:00 a.m. – 12:00 p.m.
Instructors: Ms. Virginia Goodwin and Dr. Ryan Soklaski, MIT LL
Description: In this course, we will cover a brief introduction to modern machine learning as a whole, then focus specifically on computer vision through the lens of deep learning. We will take an in-depth look at the convolutional neural network, and also touch briefly on other computer vision algorithms with reference to their specific use cases. We will also discuss common performance metrics in the domain, as well as the challenges associated with modern, data-driven techniques.
Natural Language Processing Foundations and Applications
2:00 p.m. – 4:00 p.m.
Instructors: Dr. Charlie Dagli and Dr. Olga Simek, MIT LL
Description: This course will provide an overview of foundational concepts as well as advanced capabilities related to the application of artificial intelligence to natural language processing problems for the DoD. The course will cover the following topics: NLP foundations, deep learning and NLP, and application of NLP for USG applications. The course is intended for military officers and DoD civilians involved in research, development, and transition.
Thursday, 12 November 2020
Introduction to Robust and Safe AI
10:00 a.m. – 12:00 p.m.
Instructors: Dr. Rajmonda Caceres, Ms. Olivia Brown, and Mr. Justin Goodwin, MIT LL, and Prof. Mykel Kochenderfer, Stanford University
Description: As machine learning (ML) is increasingly applied to AI systems in national security environments, new concerns are introduced regarding whether these systems will behave properly in operational settings. Such concerns arise due to the existence of small changes to data inputs that result in erroneous behavior by ML models. In a complex and ever-changing environment, it is vital that the DoD establish a sound and methodical process for evaluating and enhancing the robustness of AI systems before these new capabilities are deployed to the field. This course will give an overview of potential vulnerabilities for ML models, introduce properties and metrics for robust and safe AI, and highlight a selection of robust design techniques and best practices. In addition, a set of use cases applying these robustness techniques to real-world, DoD mission applications will be presented and discussed.
Reinforcement Learning and Autonomy
2:00 p.m. – 4:00 p.m.
Instructors: Ms. Tate DeWeese and Mr. Yutai Zhou, MIT LL
Description: In this course, we will introduce the basic foundations of reinforcement learning, a popular machine learning approach for training autonomous systems. We will examine current limitations in utilizing reinforcement learning for operational applications and discuss how these issues can be mitigated with a priori knowledge and understanding of the problem domain. Several modern methods will be covered in detail and supplementary exercises will be provided.
Friday, 13 November 2020
Human–Machine Teaming for Systems Engineering
10:00 a.m. – 12:00 p.m.
Instructors: Ms. Kimberlee Chang and Ms. Sara McGuire, MIT LL
Description: In this course, we will provide an overview of human–machine teaming (HMT) as it relates to AI development and testing. We will discuss the concept of HMT and how to select the right level of autonomy for the intended application. We will also introduce the concept of a human–AI teaming testbeds and the importance of applying multidimensional metrics that allow performance benchmarking and inform further development. We will then discuss both established and emerging methods for obtaining those metrics.
AI for Biomedical and Life Sciences:
Applications for National Security
2:00 p.m. – 4:00 p.m.
Instructors: Dr. Joshua Dettman, Dr. Laura Brattain and Dr. Bill Streilein, MIT LL
Description: This course will provide an overview of basic concepts and state-of-the-art capabilities related to the application of artificial intelligence to challenges in biology and life sciences for the DoD. The course is intended for military officers and DoD civilians involved in research, development, and transition in biology, biotechnology, and military and civilian healthcare. The course will consist of prerecorded lectures and interactive sessions is designed to provide a basic understanding of current and future technology and national security thrusts.