Social Synthesis
SDi has designed an architecture, in accordance with the parameters of N202_126, which utilizes synthetic text generation to simplify the process of scenario inject creation by providing the exercise controller…
View R&D Project 
Description: SDi has designed a system of mathematical models that use the idea of community structure in complex networks for the foundation for COVID-19 spread prediction and defines the network based on connections between individuals via social media. In addition, the system incorporates not only real-world information, but also insight from a series of connected simulations that model the disease spread in a virtual world.
Primary Objective: SDi is developing Conjecture Covid as a comprehensive tool to both track and predict the spread of COVID-19. Conjecture Covid is designed as a service to be used by public health professionals in the mitigation of disease outbreak and spread.
Innovation: Conjecture Covid utilizes cluster analysis techniques to determine and predict COVID-19 spread by building a virtual model (simulation) that incorporates the concept of Community Structure and envisions the spread of the COVID-19 virus as a network of expanding nodes. This process encapsulates hierarchical clustering and the Girvan-Newman algorithm to associate known clusters to possible locations of new clusters.
Strat Agent
SDi is developing a sophisticated, autonomous artificial intelligence model that is designed to act as a modern-day battlefield commander.
View R&D Project 
Strike Collective
SDi has designed a framework to construct Dynamic Environment Modeling for targeting and overlaid it with a cognitive structure that allows an enhanced methodology for the current Decide, Detect, Deliver,…
View R&D Project