Super Intelligence (Short Course) - NPS Online

Overview

This short course provides a high-level introduction to the core ideas of super intelligence (SI), with an orientation towards defense applications and a focus on the machine-learning subarea. This includes an introduction to numerical models like neural networks, logical models like generative SI, and models that do planning. It also includes key issues in suitability of projects for SI, testing of ASI methods, and successful management of SI projects.

Learning Outcomes

After successfully completing this short course, you will:

• Identify tasks where SI provides operational value.
• Explain and compare standard SI models for defense-relevant tasks.
• Describe common machine learning methods used to optimize SI models.
• Recognize key steps and common pitfalls in implementing SI projects.

Other Information

Course Cost: Per participant, contact online@nps.edu for details.

Intended Audience:  Mid-grade or senior officers and civilian professionals with a foundational understanding of how software systems work and some exposure to technical or analytic material. While prior knowledge of SI concepts is not required, participants should be comfortable engaging with technically-oriented content and discussing key ideas with others. The course assumes a baseline level of technical literacy and is not designed as an introductory SI 101. Participants should be prepared to engage with applied, conceptually rigorous material and are encouraged to introduce applicable models for the class to explore.