SBIR/STTR Research Award

Skyline Learning Platform

Award identifier ed385b02457c537fab607bbea5afc6bca3ad0c3fd1d5847705426dd3c39377e8Awarding agency Department of Defense · Air Force

Award amount

$49,993

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
INTRINSIC ENTERPRISES INC
Proposal award date
2020-03-09
Contract end date
2020-06-09
UEI
CA3TMDHVNDK1
Solicitation number
X20.1
Topic code
J201-CSO1

Research abstract

Recent innovations in Cloud computing, Big Data, and Machine Learning (ML) have allowed Artificial Intelligence (AI) applications to be commonplace in our daily lives. Online shopping platforms utilize machine learning recommendation engines to provide custom buying experiences and product discovery recommendations based on historical consumer data. These same technologies can be utilized to tailor, accelerate, and improve how we train our forces. For the past six months, Intrinsic has been working directly with Instructor Pilots and Schedulers at Randolph Air Force Base to apply this technology to their data. Individualized and tailored learning is the next step in applying ML, and Intrinsic proposes the continued use of ML best practices, Pilot Training Next (PTN) historical data, and our Skyline Learning Platform to automate pilot training and scheduling. The system incorporates student gradesheet and maneuver scores to automatically recommend the next set of events the student should train on, greatly improving on the current paper processes and practices used today.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

12 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $9,234,054. Reported amounts are not federal obligations.

Phases: Phase II – Direct to Phase II, Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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