Difference between revisions of "Supercomputer Modeling and Artificial Intelligence Cluster for Smart Cities and Regions"

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Innovation eco-system to serve challenges by using high-performance supercomputers to utilize Artificial Intelligence to develop  Smart Cities and Region services, including resilience solutions (Net Zero Energy Buildings and Districts, Carbon Neutrality, Advanced Energy Penetration, Energy Efficiency, Advanced Mobility Solutions, Environmental Health, Public Safety, Disaster Management, , V2X Electrification, Climate and Water).
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National and International Innovation eco-system to serve challenges by using high-performance supercomputers to utilize existing and novel Artificial Intelligence to develop  Smart Cities and Region services, including resilience solutions (Net Zero Energy Buildings and Districts, Carbon Neutrality, Advanced Energy Penetration, Energy Efficiency, Advanced Mobility Solutions, Environmental Health, Public Safety, Disaster Management, , V2X Electrification, Climate and Water).  
This Cluster will deploy both proven, and newly devised, large-scale Smart City and Region supercomputing predictive analytics to model regional pathways into resiliency with identification of scientific and marketplace solutions to provision and deploy the right Smart City and Region solution stacks. 
 
AI models will include the next generation of Artificial Intelligence, including Complex Systems Simulations, Emulation, and Optimization in order to create highly efficient and robust “autonomous systems” and portfolio-scale analytics. The predictive analytics developed by Innovation Corridor’s national lab partners will be part of the initial portfolio and baseline.  
 
  
Large-scale compute intensive data sets will train Artificial Intelligence solutions prior to deployment, which will be sourced from a range of partners, jurisdictions and localities and used to refine our Cluster Artificial Intelligence predictive analytics.   
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This Cluster will deploy both proven, and newly devised, large-scale Smart City and Region supercomputing predictive analytics to model regional pathways into resiliency with identification of scientific and marketplace solutions to provision and deploy the right Smart City and Region solution stacks.
An eco-system of cities, regions, federal research labs, private sector technology companies and universities provide a unique framework and sandbox to support the deployment of Smart Cities enabling technologies and the provision of resiliency-based and Artificial Intelligence solutions for Smart Cities and Smart Regions.  
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AI models will include the next generation of Artificial Intelligence, including Complex Systems Simulations, Emulation, and Optimization in order to create highly efficient and robust “autonomous systems” and portfolio-scale analytics and automated services. The predictive analytics developed by Innovation Corridor’s national lab partners will be part of the initial portfolio and baseline. Powering IoT is developing new Artificial Intelligence architectures for large scale deployment across cities and regions. Powering IoT will provide principles to enable Innovation Corridor and eco-system partners to develop and create a "Personal Digital Twin", a personal digital avatar that will purposefully serve each citizen in a society.
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Large-scale compute intensive data sets will train Artificial Intelligence solutions prior to deployment, which will be sourced from a range of partners, jurisdictions and localities and used to refine our Cluster Artificial Intelligence predictive analytics.  An eco-system of cities, regions, federal research labs, private sector technology companies and universities provide a unique framework and sandbox to support the deployment of Smart Cities enabling technologies and the provision of resiliency-based and Artificial Intelligence solutions for Smart Cities and Smart Regions.  
  
  

Revision as of 20:51, 12 June 2019

Supercomputer Modeling and Artificial Intelligence Cluster for Smart Cities and Regions
GCTC logo 344x80.png
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Team Members Innovation Corridor (NREL/NCAR), Powering IoT, AECOM, Venture Smarter, Hitachi, Arrow Electronics Inc, Intel, CU, DU, CSU, Colorado Technology Association, Cubicon Foundation
Point of Contact Eric Drummond – CEO and Founder, Innovation Corridor; Matthew James Bailey - Global Leader in Smart Cities/Regions
Participating Municipalities The Colorado Smart Cities Alliance, USA
Status Ready for Public Announcement
Website
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Description

National and International Innovation eco-system to serve challenges by using high-performance supercomputers to utilize existing and novel Artificial Intelligence to develop Smart Cities and Region services, including resilience solutions (Net Zero Energy Buildings and Districts, Carbon Neutrality, Advanced Energy Penetration, Energy Efficiency, Advanced Mobility Solutions, Environmental Health, Public Safety, Disaster Management, , V2X Electrification, Climate and Water).

This Cluster will deploy both proven, and newly devised, large-scale Smart City and Region supercomputing predictive analytics to model regional pathways into resiliency with identification of scientific and marketplace solutions to provision and deploy the right Smart City and Region solution stacks.

AI models will include the next generation of Artificial Intelligence, including Complex Systems Simulations, Emulation, and Optimization in order to create highly efficient and robust “autonomous systems” and portfolio-scale analytics and automated services. The predictive analytics developed by Innovation Corridor’s national lab partners will be part of the initial portfolio and baseline. Powering IoT is developing new Artificial Intelligence architectures for large scale deployment across cities and regions. Powering IoT will provide principles to enable Innovation Corridor and eco-system partners to develop and create a "Personal Digital Twin", a personal digital avatar that will purposefully serve each citizen in a society.

Large-scale compute intensive data sets will train Artificial Intelligence solutions prior to deployment, which will be sourced from a range of partners, jurisdictions and localities and used to refine our Cluster Artificial Intelligence predictive analytics. An eco-system of cities, regions, federal research labs, private sector technology companies and universities provide a unique framework and sandbox to support the deployment of Smart Cities enabling technologies and the provision of resiliency-based and Artificial Intelligence solutions for Smart Cities and Smart Regions.

Challenges

Ability to quickly model large scale systems/challenges across a city and region in order to understand challenges in depth, from which the right solutions can be identified to create desired outcomes and measurable impact. Using predictive analytics to support the robust development of Smart Cities and integrating Smart Cities into Smart Regions. There are many technical and financial challenges, including, region-wide solution stacks, as well as, region-wide data platforms that have the ability to enable region-wide services.

Solutions

Collecting huge tranches of data sets from cities and regions in order to support the deployment of Artificial Intelligence throughout the built environment is a necessary challenge – Innovation Corridor national lab partners are one of the few entities globally with such expertise. Deployment of a Smart City and Smart Region marketplace of solutions utilizing Artificial Intelligence within and across multiple built environments, from the sensor, to the edge, to the gateway, to the cloud - if needed. One of the end results of this Cluster will be to integrate best-in-class partners, act as a national innovation center, and serve as a catalyst to support a broad range of jurisdictions in their regional transformation into the next generation of resilient, automated and adaptive societal systems and fabrics.

Major Requirements

Collect data sets from regional jurisdictions. Include additional data collected and validated by NREL and NCAR, which will be assimilated and analyzed in real-time and stored in a secure facility. The data sets will be used to develop Complex systems Simulations and Emulations to support Artificial Intelligence deployment for Smart City or Smart Regional challenges. High-performance supercomputing will be used to run independent agent models across a wide range of scenarios to determine the most robust and effective applications of AI and how such modeling measurably impacts a challenge. Deploy a Smart City and Smart Region test bed that will ingest Artificial Intelligence and run trials to validate performance, impact, and improvements. Iterate and improve until baseline Artificial Intelligence is ready for large scale validation across a state and deployment into other regions.

Performance Targets

Key Performance Indicators (KPIs) Measurement Methods

Target challenges to address:

  • Transportation – Assist in the analysis of advancing the electrification of vehicle infrastructure and the deployment of critical V2X initiatives.
    • Increase emergency response time
    • Increase mobility by 20%.
    • Increase regional penetration of renewable energy by 20%.
  • Water - increase the utilization of refined water models to water scarcity and security issues. Metrics tbd.
  • Resiliency – deploy first-of-it-kind design and resilient building construction models and technologies - metrics tbd
  • Smart City Services operating across jurisdictions as Smart Regions.
  • Smart Cities Services - increase the automation of city and regional services with an initial target of increased efficiency of 15%
  • Smart Rural Communities integrated into local metropolitan areas enabling Rural/Regional automation and resilient solutions (as described above)

Data driven metrics from automated systems to measure impact in real-time all the way from research through to live trials.

Standards, Replicability, Scalability, and Sustainability

IEEE - Smart City Standards. National standards – Based on standards being devised by NSF-“Building Energy-Smart Technologies” Industry University Cooperative Research Center deployment New national standards - AI, policy, solution templates, regional standards This Cluster is an innovation eco-system that will develop and trial solutions within Colorado and other jurisdictions that can be deployed, with adaptability, for regions across the globe.

Cybersecurity and Privacy

Testbeds for local government to innovate on policy and regulation to support this initiative will be needed. Multi-jurisdictional alliances will play an important role in formulating policies around data privacy and other related governance, and enabling collaboration for policies to be modelled, trailed, validated and iterated in the testbeds and, ultimately, standardized and scaled.

Cyber Security is a fundamental part of this initiative and as such NREL and private sector members will be using the very latest cyber security standards. NREL has developed a unique CyberSecurity national R&D program that will be the cornerstone of the SuperCuster’s cyber security initiative.

Impacts

We anticipate significant and replicable results. Once first projects are underway, an initial tranche of economic benefits as well as impacts on energy, health, safety, environment and other quality of life aspects will become available

Demonstration/Deployment

We will make an announcement of the Cluster with partners and explain why it is needed, how it works, who is involved and how it will serve the future.

Regarding resilience we can speak to past projects with a large international airport, a tier 1 city and a developing country. These are some of the baseline resilience models that we will be using to deploy and create impact across the USA and into international territories.

We are also involved in a significant grid related cyber security AI national initiative.

We will be outlining the timeline for this cluster to generate impactful resilience and AI in Smart Cities.