GD Cloud Innovation Portal (CIP) for saving lives supports mission-oriented innovations that demonstrate U.S. Feds-defined leading edge technologies (LETs) such as hybrid multi-cloud (AzureGov; GovCloud), cloud security (ZTA) and scaling, container development, mobile UI, WebContentManagement, and AI ML NLP for the future technology of U.S. federal agencies. The PoC (proof of concept) labs of the GD CIP demonstrate the technical feasibility of GD solutions for the federal mission challenges, and are reusable across multiple task orders that may amplify the mission capabilities such as NCIC N3G (needs cloud migration, security, and scaling solutions), NGI, or other CJIS CSA components.
The Mass Shooting Early Warning (MSEW) PoC system is a sample innovation of the GD CIP that covers IaaS, PaaS, and SaaS layers of a multi-cloud solution architecture. The primary purpose of the MSEW PoC is field-testing the approaches to materialize the three layers of the conceptual cloud architecture; and secondly, providing new insight to the FBI director for catching a mass shooter before he strikes.
innovate.ai.ml.nlp.tensorflow.bert.encode (['Just do it', 'then do it right', 'then do it better'])
What are the ITECS LETs Field-tested by the MSEW System?
ITECS-defined LETs: Cloud migration (AzureGov, GovCloud, CloudEndure, SurPaaS) and management (ACM, DNS, LB, ZTA) (ATT.9.6.1); AI NLP Bot Big Data (ATT.9.6.2); Cloud native (container) development (ATT.9.6.7); Mobile UI/WCM (ATT.9.6.6) etc.
How to Use MSEW TipFBI to Catch a Mass Shooter?
Help Make Our Nation a Safer Place: spread the words; watch guns; spot a shooter; tip police
Why MSEW? Allow police to enforce the Red Flag Law to remove firearms from mass shooters based on your tips
Red Flag Law saves lives: the law permits police or family members to petition a state court to order the temporary removal of firearms from a person (mass shooter) who may present a danger to others or themselves.
How to Assess and Spot a Mass Shooter by Early Signs?
We are developing and training the knowledge structure of the MSEW cloud robot (“FBI MSEW R2”) that uses AI natural language understanding (NLU) algorithms to understand these questions and solutions.
R2 robot, the AI cloud engine behind GD MSEW mobile and Web interface, supports FBI BTAC (Behavioral Threat Assessment Center) or other units through AI NLP algorithms to interactively assess the early signs for end users. For FBI Call centers, MSEW attempts to upgrade the traditional functions enabled by human telephone calls with smart self-service functions enabled by the cloud robotic engine (“R2”).
- Aug 2019: the “R2” was born – can understand basic greeting language (prototype at the upper right)
- ITECS task order award and CJIS APB review: start to train the R2 to understand basic early signs
Contact: Dr. Ye, firstname.lastname@example.org