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1
UNCLASSIFIED
Tactical
Artificial Intelligence
Cell (TAIC)
DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited
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
DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited
External Coordination
4
DC-I
– Intel
Department/iEMO
– War Room
– C4
DC-P&R BMA
JAIC
MCSC
DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited
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
DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited
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
DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited
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
DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited
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
DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited
Methodology
9
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
DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited
Project Levels
10
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.
DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited
Projects
•OSINT
• ELINT,
TRSS&GBOSS
• Tactical Decision Making /
COA Development 11
DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited
Support Functions
• RFI and user support
• OJT and Internship for 2651/52/53
• Academic Coordination through UCSD
– Internships
– Research
12
DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited
13
Questions?