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Shephard Plus Update
Shephard Media
Shephard Plus is updating in June 2018 with rich new capabilities, and is now one of the most cost-effective and valuable aerospace and defence market intell...
Defence Insight
Shephard Media
Some of the things people like you use Defence Insight for:
- Total addressable market sizing ($)
- Competitor analysis
- Cost analysis
- Market forecasting
- Growth identification
- Increasing closing ratio
- Increasing closing order value
- Estimating product potential
- Calculating sales forecasting
- Supply and demand analysis
- Total addressable market sizing ($)
- Competitor analysis
- Cost analysis
- Market forecasting
- Growth identification
- Increasing closing ratio
- Increasing closing order value
- Estimating product potential
- Calculating sales forecasting
- Supply and demand analysis
Military Unmanned Systems Handbook
Shephard Media
The Military Unmanned Systems Handbook (Digital Download) is an international guide to the military UV industry and provides detailed information on air, ground and sea (surface & sub-sea) vehicles as well as subsystems. What's included: Unencrypted 390+ page PDF of equipment and supplier information Market summary
Description
Central Florida Tech Grove has initiated a $160,000 challenge aimed at identifying AI tools capable of expediting Instructional Systems Design (ISD) analysis for military training and human performance enhancement.
The initiative is in collaborationwith Team Orlando, the Office of Naval Research (ONR), the Naval Air Warfare Center Training Systems Division (NAWCTSD), and the National Security Innovation Network (NSIN).
One of the major challenges plaguing training creation and updates for the USN is the lengthy time it takes to conduct an ISD analysis with limited availability of analysts or subject matter experts to conduct and participate in the analysis.
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With the requirement to create and update training with ‘speed to the fleet' the need to find automated methods for ISD analysis is required.
This challenge's primary objective is to pioneer proof-of-concept prototypes using AI large language models to automate the ISD analysis process and facilitate the development of requirements for ready relevant learning.
Specifically, it aims to determine whether such modelscan generate high-quality task analysis, learning analysis, and media selection data in a more efficient and cost-effective manner, streamlining the overall process.
The initiative is in collaborationwith Team Orlando, the Office of Naval Research (ONR), the Naval Air Warfare Center Training Systems Division (NAWCTSD), and the National Security Innovation Network (NSIN).
One of the major challenges plaguing training creation and updates for the USN is the lengthy time it takes to conduct an ISD analysis with limited availability of analysts or subject matter experts to conduct and participate in the analysis.
Related Articles
DSEI 2023: Controp unveils Smart Vision AI software for EO/IR payloads
Singapore Army tests AI in tactical and command post C2 systems
With the requirement to create and update training with ‘speed to the fleet' the need to find automated methods for ISD analysis is required.
This challenge's primary objective is to pioneer proof-of-concept prototypes using AI large language models to automate the ISD analysis process and facilitate the development of requirements for ready relevant learning.
Specifically, it aims to determine whether such modelscan generate high-quality task analysis, learning analysis, and media selection data in a more efficient and cost-effective manner, streamlining the overall process.

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