Introduction to Computer Vision for Surveillance Systems
Tuesday, November 10th - 10 am
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 to National Security
Tuesday, November 10th - 2 pm
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 (NLP) 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.
Robust Artificial Intelligence for National Security
Thursday, November 12th - 10 am
This course will begin with an overview of the potential vulnerabilities for artificial intelligence (AI) and machine learning (ML) systems. We will then highlight the challenges for achieving robust AI in the National Security regime, and introduce a selection of techniques and best practices that developers, evaluators, and warfighters can use to ensure AI systems are robust. We will then solidify these concepts with a use case from the Humanitarian Assistance and Disaster Relief domain.
Reinforcement Learning for Autonomous Decision-Making
Thursday, November 12th - 10 am
IIn this course, we will introduce the problem of Autonomous Decision-making and provide an overview of artificial intelligence (AI) methods used to tackle the problem. We will particularly focus on reinforcement learning (RL), a learning paradigm that has shown incredible progress in recent years. The course will cover a taxonomy of decision-making algorithms, review reinforcement learning and deep learning, and introduce the nascent domain of deep reinforcement learning (DRL). We will then discuss how these methods as well as their forefront research progress apply to National Security missions.
Human-Machine Teaming for Systems Engineering
Friday, November 13th - 10 am
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.
AI for Biology and Life Sciences: Applications for National Security
Friday, November 13th - 2 pm
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 (AI-BLS) 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 lectures and virtual demonstrations and is designed to provide a basic understanding of current and future technology and national security thrusts.