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Boston Fusion Corp. SBIR Phase I Award, October 2020

A SBIR Phase I contract was awarded to Boston Fusion in October, 2020 for $139,971.0 USD from the U.S. Department of Defense and United States Navy.

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Contents

sbir.gov/node/1925095
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
Boston Fusion
Boston Fusion
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
United States Navy
United States Navy
0
Award Type
SBIR0
Contract Number (US Government)
N68335-21-C-00450
Award Phase
Phase I0
Award Amount (USD)
139,9710
Date Awarded
October 22, 2020
0
End Date
April 26, 2021
0
Abstract

To provide an Artificial Intelligence (AI) Assistant for P-8A acoustic operators and trainees, Boston Fusion Corp. proposes to demonstrate a System for Embedded ASW Training Using Artificial Intelligence (SEATRAIN). SEATRAIN integrates four core capabilities. First, SEATRAIN’s AI Assistant uses machine learning to coach trainees by showing how their assessments differ from its own assessments and explaining its rationale. The Phase II version will highlight how trainees’ actions differ from its actions and show how proven procedures/techniques guided its actions. Second, SEATRAIN incorporates online learning to help it continually improve its classification performance. Third, SEATRAIN uses machine learning to filter out clutter and perform cluster classification, enabling it to generate timely alerts for valid contacts and anomalous detections—including detections for which there are no reference signatures or training data. SEATRAIN can classify contacts accurately because its computational resources are focused only on relevant detections. Fourth, SEATRAIN is embedded in an extensible fusion architecture that is readily modified to accept new input data (e.g., onboard non-acoustic sensors and external data links) and perform higher levels of fusion/assessment. Adapting SEATRAIN for the operational P-8A ASW mission system will help operators provide more timely, relevant, and accurate tactical information during actual ASW operations.

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