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© ai-one inc. | February 2015
ai-one
Concept inspired by NASA | Powered by BrainDocs | Visualization by KDD Analytics
Tom Marsh, ai-one, inc. February 2015
© ai-one inc. | February 2015
ai-one
NASA TABS Supporting Missions for the Next 30 Years
© ai-one inc. | February 2015
ai-one
Goal: Align Mission Timelines with
Technology Development TRL Levels
Technology Roadmap Schedule
for in-Space Propulsion 
Mission Roadmap Schedule
For Asteroid Retrieval 
© ai-one inc. | February 2015
ai-one
Goal: Align Academic, Private and Public
Institutions with R&D Needs
Technological Disciplines
© ai-one inc. | February 2015
ai-one
Immediate Challenge: Investment Decision
Process
Objective:
• Improve risk option valuation (investment decisions) for NASA
portfolio of over 1000 R&D Projects under pressure of smaller
staff and budget constraints.
Activities
• Establish technology priorities and challenges based on NRC
Technology Roadmap, NASA Technology Roadmap and
Investment Strategy, and Design Reference Mission scenarios
exploration roadmaps.
• Identify which technologies enable mission capabilities and
options.
• Identify associated uncertainties and risks.
• Identify market and academic enablers
© ai-one inc. | February 2015
ai-one
Objective: Use Intelligent Agents to
Accelerate Manual Processes
Solution needed to help decisions and identify investment priorities
 TAPP was performed for
HEOMD/AES to assess the degree
of alignment between proposals
submitted for AES funding and
Strategic Goals
 The degree of alignment is shown for
NASA centers, Strategic Knowledge
Gaps (SKG), Science and HEO
needs, Technological Benefit and the
commercial mission Inspiration Mars
© ai-one inc. | February 2015
ai-one
ai-one’s Space Research Framework (SRF)
ai-one’s SRF is a knowledge framework and toolkit
for research and process improvement leveraging
the NASA Strategic Technology Area taxonomy and
Roadmaps for space exploration.
SRF makes it possible for researchers and analysts to explore,
curate and score NASAs knowledge base by concept(s) through
an interactive dashboard.
© ai-one inc. | February 2015
ai-one
Visual Scoring and Navigation by Technology
Area (TA) Agent
© ai-one inc. | February 2015
ai-one
SRF - What is it?
• Cloud based service uses Intelligent Agents for each of
NASA’s 300 technologies identified in14 Technology Area
Roadmaps
• Service uses Agents to find/classify/score documents that
contain any of the 300 Technologies
• Service scores documents at the paragraph level
• Agents can be directed to the web to search, monitor and
collect any documents related to a technology
• Agents can be used to identify people and other content that
may be relevant to a technology
© ai-one inc. | February 2015
ai-one
SRF - Who is it for?
• NASA & space industry professionals that need better tools for
tagging, searching and organizing documents, plans, content
and data bases.
• NASA researchers monitoring external web sources, academic
papers, blogs, presentations, company information and experts.
• Knowledge management and IT departments that need
documents tagged with NASA technology taxonomy
• Academic researchers & students seeking to position their work
within the NASA Technology Area Roadmaps
• Companies seeking to identify opportunities for their technology
in planned space missions
© ai-one inc. | February 2015
ai-one
SRF – Short Term Roadmap
• Phase 1 Completed Jan 2015: Build the prototype solution with
agents for the 13 Highest Priority Level 3 Technologies as
identified by NASA with three dashboards for the following data:
• NASA 14 Strategic Area Roadmaps
• AES (38) Research Requests
• SBIR/STTR 2015 Solicitation
• Phase 2: Add the top 83 Level 3 Technologies to the Agents and
more content/documents to explore (ongoing effort)
• Phase 3: Integrate external search capability to use same
agents to crawl web for unknown research, people, institutions
• Phase 4: Add balance of agents and enrich data with other
sources to provide user with additional dimensions
© ai-one inc. | February 2015
ai-one
Tom Marsh, COO
ai-one inc.
5666 #104 La Jolla Blvd.
La Jolla, CA 92037
Ph: +18585310674
tm@ai-one.com
Follow on Twitter @tom_semantic
Website www.ai-one.com

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ai-one Space Research Framework (SRF) Intro Feb 2015

  • 1. © ai-one inc. | February 2015 ai-one Concept inspired by NASA | Powered by BrainDocs | Visualization by KDD Analytics Tom Marsh, ai-one, inc. February 2015
  • 2. © ai-one inc. | February 2015 ai-one NASA TABS Supporting Missions for the Next 30 Years
  • 3. © ai-one inc. | February 2015 ai-one Goal: Align Mission Timelines with Technology Development TRL Levels Technology Roadmap Schedule for in-Space Propulsion  Mission Roadmap Schedule For Asteroid Retrieval 
  • 4. © ai-one inc. | February 2015 ai-one Goal: Align Academic, Private and Public Institutions with R&D Needs Technological Disciplines
  • 5. © ai-one inc. | February 2015 ai-one Immediate Challenge: Investment Decision Process Objective: • Improve risk option valuation (investment decisions) for NASA portfolio of over 1000 R&D Projects under pressure of smaller staff and budget constraints. Activities • Establish technology priorities and challenges based on NRC Technology Roadmap, NASA Technology Roadmap and Investment Strategy, and Design Reference Mission scenarios exploration roadmaps. • Identify which technologies enable mission capabilities and options. • Identify associated uncertainties and risks. • Identify market and academic enablers
  • 6. © ai-one inc. | February 2015 ai-one Objective: Use Intelligent Agents to Accelerate Manual Processes Solution needed to help decisions and identify investment priorities  TAPP was performed for HEOMD/AES to assess the degree of alignment between proposals submitted for AES funding and Strategic Goals  The degree of alignment is shown for NASA centers, Strategic Knowledge Gaps (SKG), Science and HEO needs, Technological Benefit and the commercial mission Inspiration Mars
  • 7. © ai-one inc. | February 2015 ai-one ai-one’s Space Research Framework (SRF) ai-one’s SRF is a knowledge framework and toolkit for research and process improvement leveraging the NASA Strategic Technology Area taxonomy and Roadmaps for space exploration. SRF makes it possible for researchers and analysts to explore, curate and score NASAs knowledge base by concept(s) through an interactive dashboard.
  • 8. © ai-one inc. | February 2015 ai-one Visual Scoring and Navigation by Technology Area (TA) Agent
  • 9. © ai-one inc. | February 2015 ai-one SRF - What is it? • Cloud based service uses Intelligent Agents for each of NASA’s 300 technologies identified in14 Technology Area Roadmaps • Service uses Agents to find/classify/score documents that contain any of the 300 Technologies • Service scores documents at the paragraph level • Agents can be directed to the web to search, monitor and collect any documents related to a technology • Agents can be used to identify people and other content that may be relevant to a technology
  • 10. © ai-one inc. | February 2015 ai-one SRF - Who is it for? • NASA & space industry professionals that need better tools for tagging, searching and organizing documents, plans, content and data bases. • NASA researchers monitoring external web sources, academic papers, blogs, presentations, company information and experts. • Knowledge management and IT departments that need documents tagged with NASA technology taxonomy • Academic researchers & students seeking to position their work within the NASA Technology Area Roadmaps • Companies seeking to identify opportunities for their technology in planned space missions
  • 11. © ai-one inc. | February 2015 ai-one SRF – Short Term Roadmap • Phase 1 Completed Jan 2015: Build the prototype solution with agents for the 13 Highest Priority Level 3 Technologies as identified by NASA with three dashboards for the following data: • NASA 14 Strategic Area Roadmaps • AES (38) Research Requests • SBIR/STTR 2015 Solicitation • Phase 2: Add the top 83 Level 3 Technologies to the Agents and more content/documents to explore (ongoing effort) • Phase 3: Integrate external search capability to use same agents to crawl web for unknown research, people, institutions • Phase 4: Add balance of agents and enrich data with other sources to provide user with additional dimensions
  • 12. © ai-one inc. | February 2015 ai-one Tom Marsh, COO ai-one inc. 5666 #104 La Jolla Blvd. La Jolla, CA 92037 Ph: +18585310674 tm@ai-one.com Follow on Twitter @tom_semantic Website www.ai-one.com