Breadcrumb

Lead AI in DoD (Leading Data and AI-Enabled Organizations)

 

A series of short courses and symposia for DoD leaders in foundational and transformational topics in Data, Artificial Intelligence and Machine Learning.  This course is a collaboration between the Naval Postgraduate School, the Defense Innovation Unit Silicon Valley, and with contributions from academic and industry experts, organized for the
Department of Defense’s Chief Digital and Artificial Intelligence Office.

ASPIRE (All Services Personnel & Institutional Readiness Engine) - Assessment, MicroLearning & MicroCredentialing platform

 

The ASPIRE forward learning interagency initiative is developing the first-ever, AI-enabled talent management system for the Navy and federal partners. Building on each user's gaps, it personalizes the learning ensuring the workforce maintains leading edge knowledge and experience, automatically providing learning pathways to build individual competencies and support agile management. Each learner obtains personalized credentialing based on a competency achieved.

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CHUNK Learning (Curated Heuristic Using a Network of Knowledge) - A Personalized & Adaptive MicroLearning Platform

 

CHUNK Learning breaks away from the predictable pattern of traditional education models and provides content delivery that respects the different capabilities, learning styles, and approaches to problem-solving of every learner. Students are empowered by a system that ensures learning is efficient, flexible, and respectful of their time.

  • Offers intense, short, and focused educational modules
  • Stimulates interest and demonstrates relevance of topics
  • Integrates new information with learner’s pre-existing knowledge
  • Provides personalized and individualized education
  • Optimizes content and methodology delivery to meet the needs of each learner

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Generating synthetic models for air transportation networks that closely matches the properties of air carrier networks from the European Air Transportation Network.

Understanding dark multilayered networks thorugh communitiy detection and community identification from partial information.

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Visualization of inferences of the structure of an unknown network through sequential monitor placement.

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Graph Theory, Favorite Conjectures and Open Problems

This series of books is a collection of chapters on conjectures written by invited senior researchers in Graph Theory.

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A temporal analysis of Internet IPs in Egypt (from CAIDA's data) before, during and after the Egyptian Revolution.

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Network creator and visualizer

Import or create networks, and screen data to analyze it.

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Thread visualization of 4Forums.com

Explorations of Political Debates and Polls data based on thread, with author and keyword search capabilities.

Projects List