Tactical Artificial Intelligence Cell (TAIC) · Artificial Intelligence Cell (TAIC) DISTRIBUTION...

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Transcript of Tactical Artificial Intelligence Cell (TAIC) · Artificial Intelligence Cell (TAIC) DISTRIBUTION...

Page 1: Tactical Artificial Intelligence Cell (TAIC) · Artificial Intelligence Cell (TAIC) DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited ... Data Scientist

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Page 2: Tactical Artificial Intelligence Cell (TAIC) · Artificial Intelligence Cell (TAIC) DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited ... Data Scientist

UNCLASSIFIED

Tactical

Artificial Intelligence

Cell (TAIC)

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Mission

MCTSSA is in the process of

establishing a Tactical AI Cell IOT:

1. Develop ML applications for tactical users;

2. Provide AI systems support for users in the fleet;

3. Create an AI knowledgeable workforce;

4. Provide test and evaluation for ML applications as they are introduced

into programs of record;

5. Satisfy AI related requests for information;

3

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External Coordination

4

DC-I

– Intel

Department/iEMO

– War Room

– C4

DC-P&R BMA

JAIC

MCSC

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Innovation

Center

Technical

Director

Program

Engineering

Support Group

Test and

Certification

Group

Operating

Forces Support

Group 5

Commanding Officer, MCTSSA

Col. Bailey

Tactical

AI Cell

Sergeant

Major

Executive

Officer

RF/EW

Cell

Advanced

Concepts

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iEMO/RTI

Enablement

Team Design

6

Data Scientist

/Developer

(Civ)

TAIC OIC

8824/8846/8850

Technical

Lead

(Civ)

TAIC Chief

2659

Data Scientist

/Developer

(Civ)

Data Scientist

/Developer

(2652/2653)

Data Scientist

/Developer

(2652/2653)

Data Scientist

/Developer

(Civ)

Technical

Lead

(Civ)

Data Scientist

/Developer

(Civ)

Data Scientist

/Developer

(2652/2653)

Data Scientist

/Developer

(2652/2653)

Initial Resourcing

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Resourcing-Material

• On-premise compute capability has

been provided to TAIC to support

model development and application

development

• Exploration for flash storage/GPU

compute

• Networks – DREN, Commercial,

MCEN7

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Resourcing-Training

• Civilian engineers with background in Mathematics, Computer Science,

Electrical/Computer Engineering

• Leveraging online, self-paced learning– (As needed) Python 3 Programming (Univ of Mich. - Coursera, ~50 hours)

– Intro to Machine Learning (Udacity, ~100 hours)

– Deep Learning (DeepLearning.AI, Fast.AI ~160 hours)

– (Optional) Deep Reinforcement Learning (Unity - Udacity, ~160 hours)

– (Optional) C# for Unity (Univ of Col. - Coursera, ~100 hours)

• Practical training through Kaggle contest, guided kernel review and

discussion study.

• Advanced, enterprise production training through commercial vendor8

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Methodology

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Inputs From Operating ForcesAnalysts/Users, Commanders

Product Owner The Team

Sprint Master Daily Stand UpMeeting

PRODUCTBACKLOG

SPRINTPLANNINGMEETING

SPRINTBACKLOG

Sprint End Date and TeamDeliverable Do Not Change

Sprint Review

Finished Work

SPRINTRETROSPECTIVE

Prioritized list ofwhat is required:features, bugs…

Team selects, startingat top, as much as it can

commit to deliver byend of sprint

TASK

BREAKOUT

1-4 WEEKSPRINT

The SCRUM Software Development Process

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Project Levels

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MODIFIED IMPLEMENTATIONModerate research and

development: derived from existing

defense or commercial research to

USMC requirements or PoRs.

ORIGINAL RESEARCHWholly original advanced

research projects.

BASIC IMPLEMENTATIONNo additional research

required: implementing already

developed defense or

commercial frameworks to

USMC requirements or PoRs.

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Projects

•OSINT

• ELINT,

TRSS&GBOSS

• Tactical Decision Making /

COA Development 11

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Support Functions

• RFI and user support

• OJT and Internship for 2651/52/53

• Academic Coordination through UCSD

– Internships

– Research

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Questions?