mission model, mission model canvas, customer development, Hacking for Defense, lean startup, stanford, startup, steve blank, Pete Newell, Joe Felter, minimum viable product
business model, business model canvas, mission model, mission model canvas, customer development, hacking for defense, H4D, lean launchpad, lean startup, stanford, startup, steve blank, pete newell, bmnt, entrepreneurship, I-Corps, autonomy, NSIN,
mission model, mission model canvas, customer development, Hacking for Defense, lean startup, stanford, startup, steve blank, Pete Newell, Joe Felter, minimum viable product
business model, business model canvas, mission model, mission model canvas, customer development, hacking for defense, H4D, lean launchpad, lean startup, stanford, startup, steve blank, pete newell, bmnt, entrepreneurship, I-Corps, autonomy, NSIN,
Securing the Software Defined Car™ Using Artificial Intelligence and OTA UpdatesMahbubul Alam
Cyber threats have risen across the entire value chain of connected cars. An end-to-end cyber security solution is needed to prevent this and must be adopted across the 5Cs: (1) content (software and data) from (2) cloud to (3) connectivity to (4) car to (5) chipset. It is key for OEMs to establish a cybersecurity process for connected cars to identify, assess and mitigate potential security vulnerabilities, threats, and attacks. Mitigation against any of these requires a pre-determined process that can accommodate preventative and corrective actions such as monitoring the vehicle and sending regular status updates to sub-systems. If a security breach does occur, OEMs should have a rapid and globally scalable incident response plan in place. With increasing attack surfaces and zero-day attacks, static human-driven measures are no longer sufficient and instead artificial intelligence and machine learning should be used to identify potential vehicles that are vulnerable to attacks and proactively quarantine those vehicles on a global scale. The identified vehicles can have their vehicle-access controls locked and a global campaign for a preventative security patch can be pushed out as a software update using over-the-air (OTA) technology.
Key Take-Aways:
How to create an automotive cyber security plan from reactive to proactive threat-mitigation implementation?
How to use artificial intelligence to quarantine potentially vulnerable vehicles on a global scale?
How to secure software and content delivery end-to-end using over-the-air technology?
IT systems evolve at a rapid pace. What does it take to keep these mission-critical systems supported now and in the future? Learn how field service technicians are keeping pace with high-stakes, high-availability environments.
In this presentation, CompTIA’s own Dr. James Stanger interviews Bob Marlatt, information systems operations manager for the Washington State Patrol. Marlatt has worked in IT for two decades, both as a consultant and IT manager. His current responsibilities include managing the IT infrastructure for law enforcement in Washington State. You’ll learn more about how he helps ensure system uptime and how his systems make it possible for law enforcement to share vital information in real-time. He’ll also share some of the tips, tricks and traps for supporting evolving IT systems that can have an impact in your business.
Plus you can view the full webinar online at http://www.comptia.org/events/webinars/webinars-on-demand and earn CE Credit toward renewal of your CompTIA A+ certification.
Building Intelligent Applications, Experimental ML with Uber’s Data Science W...Databricks
In this talk, we will explore how Uber enables rapid experimentation of machine learning models and optimization algorithms through the Uber’s Data Science Workbench (DSW). DSW covers a series of stages in data scientists’ workflow including data exploration, feature engineering, machine learning model training, testing and production deployment. DSW provides interactive notebooks for multiple languages with on-demand resource allocation and share their works through community features.
It also has support for notebooks and intelligent applications backed by spark job servers. Deep learning applications based on TensorFlow and Torch can be brought into DSW smoothly where resources management is taken care of by the system. The environment in DSW is customizable where users can bring their own libraries and frameworks. Moreover, DSW provides support for Shiny and Python dashboards as well as many other in-house visualization and mapping tools.
In the second part of this talk, we will explore the use cases where custom machine learning models developed in DSW are productionized within the platform. Uber applies Machine learning extensively to solve some hard problems. Some use cases include calculating the right prices for rides in over 600 cities and applying NLP technologies to customer feedbacks to offer safe rides and reduce support costs. We will look at various options evaluated for productionizing custom models (server based and serverless). We will also look at how DSW integrates into the larger Uber’s ML ecosystem, e.g. model/feature stores and other ML tools, to realize the vision of a complete ML platform for Uber.
Uber - Building Intelligent Applications, Experimental ML with Uber’s Data Sc...Karthik Murugesan
In this talk, we will explore how Uber enables rapid experimentation of machine learning models and optimization algorithms through the Uber’s Data Science Workbench (DSW). DSW covers a series of stages in data scientists’ workflow including data exploration, feature engineering, machine learning model training, testing and production deployment. DSW provides interactive notebooks for multiple languages with on-demand resource allocation and share their works through community features.
It also has support for notebooks and intelligent applications backed by spark job servers. Deep learning applications based on TensorFlow and Torch can be brought into DSW smoothly where resources management is taken care of by the system. The environment in DSW is customizable where users can bring their own libraries and frameworks. Moreover, DSW provides support for Shiny and Python dashboards as well as many other in-house visualization and mapping tools.
In the second part of this talk, we will explore the use cases where custom machine learning models developed in DSW are productionized within the platform. Uber applies Machine learning extensively to solve some hard problems. Some use cases include calculating the right prices for rides in over 600 cities and applying NLP technologies to customer feedbacks to offer safe rides and reduce support costs. We will look at various options evaluated for productionizing custom models (server based and serverless). We will also look at how DSW integrates into the larger Uber’s ML ecosystem, e.g. model/feature stores and other ML tools, to realize the vision of a complete ML platform for Uber.
A Non-Confidential Slide Deck for CSR-Support and its dba Cyber Support Solutions. We have a proprietary solution to stop Data Breaches and allow personal liberties from the same computer terminal.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/qualcomm/embedded-vision-training/videos/pages/may-2017-embedded-vision-summit-mangan
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Michael Mangan, a member of the Product Manager Staff at Qualcomm Technologies, presents the "Computer Vision and Machine Learning at the Edge" tutorial at the May 2017 Embedded Vision Summit.
Computer vision and machine learning techniques are applied to myriad use cases in smartphones today. As mobile technology expands beyond the smartphone vertical, both technologies will continue to fuel innovation, individually and in concert. In this presentation, Mangan discusses Qualcomm Technologies, Inc.’s use of and vision for the future of computer vision and machine learning at the edge.
DAR is a Drone Aviation Radar Prevents Drone Collisions with Aircraft. It Proactively Defends Aircraft Airspace Up to 10 Miles Away and Works with and Integrates into Radar Systems.
ClearSpace Aeronautics (CSA) is a futuristic Drone (sUAS) Aviation, Aeronautics and Aerospace Company. It’s the home of the first DRONE AVIATION DEFENSE SYSTEMTM that protects Aircraft from Drones by keeping Drones away from Aircraft flight paths to prevent catastrophic Drone collisions with Aircraft and save lives. The Drone Aviation Defense System is part of CSA’s Drone Defense System Core which uses propriety algorithms, sensors, firmware and devices to equip the “Drone Avionics Radar” (DAR), which is the only proactive Drone Radar System.
... are more than just DIGITAL OFFERS, PRICE LISTS, MARKETING MATERIAL or EXCHANGE RATES
Why are the digital materials so useful?
➢ They save on the cost of printing marketing material
➢ Users can edit the content themselves
➢ Displayed ads or messages can be changed instantly in all locations at once
➢ They attract more attention than printed ads/notices
➢ Greater ability to analyze the playback of ads/notices
With digital labels we gain more opportunities to create a brand identitiy by exposing customers to accurate messages/notices throghout the business premises. Free up staff for other work and give customers access to additional informations.
Team Networks - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, networks
Team LiOn Batteries - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, LiOn Batteries
Team Quantum - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Quantum
Team Disinformation - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Disinformation
Team Wargames - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Wargames
Team Acquistion - 2022 Technology, Innovation & Great Power Competition Stanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Acquistion
Team Climate Change - 2022 Technology, Innovation & Great Power Competition Stanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, climate
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Army venture capital
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve Blank, Army Venture capital
Team Catena - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, economic coercion,
Team Apollo - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, space force
Team Drone - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, c3i, command and control
Team Short Circuit - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, semiconductors
Team Aurora - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Army venture capital
Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, venture capital
Lecture 8 - Technology, Innovation and Great Power Competition - CyberStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Michael Sulmeyer, cybercom,USCYBERCOM
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Azure Interview Questions and Answers PDF By ScholarHat
Skynet Week 8 H4D Stanford 2016
1. Skynet
Sam Gussman (creative generalist), Alvin Goh (hacker), Olga Musayev (project development),
Kevin Mott (project manager)
Liaisons/Mentors: Steve Behmer, Ryan Blake, Wayne Chen
# Interviewed this week: 10
1 User,1 Experts, 2 Engineers, 6 Business Leaders
# interviewed total: 80
Developing autonomous drones for situational
awareness. Helping prevent battlefield fatalities by
pinpointing friendly and enemy positions.
2. Customer Discovery
Hypotheses Results Actions
MotionDSP, Kespry, and
OceanIT could be potential
partners
Interviews Partially validated. Each of these
companies solves some problems
that we have. They are all willing to
partner with us to a certain extent
(at least for the class). However, they
all have different business models
that make long-term partnership
questionable. Furthermore, we
would learn less if we rely on
partners.
Try to replicate what the companies do
before partnering to make sure we can’t
do it ourselves.
Possibly work with companies on the
demo for SOCOM, even if long-term
development remains in-house.
Computing power on a phone or
tablet is sufficient for high-level
computer vision.
Interviews, research Invalidated. Our ideas for reducing
the computing load, such as only
analyzing a frame every five
seconds, have significant downsides.
Investigate Movidius and other
companies that allow intensive
computing on drones.
DARPA is a potential partner for
geolocation, ATAK
Interview, research Partly Invalidated. Users don’t
seem to prioritize their “wish list.”
Their geolocation work is not fully
developed, and we’ve uncovered
other partners for getting it done.
Keep talking.
Keep sharing code on ATAK.
Promise less.
Experiments
6. Partners and Benefits Computer Vision Expert:
One of the following:
- Motion DSP
- Movidius
- Stanford Computer Vision Lab
- Independent Contractor
One of the following:
- JL (independent engineer)
- DARPA
Activities Resources
Partners
People Recognition
Geolocation of person
ATAK Integration
Easy UI/UX
Pre-plan Routes
Autonomous Flight
Web Servers / Dataset Tagging,
Training Data,
Algorithm / Model
Camera Metadata (DJI API),
Drone Location data
ATAK Source Code,
ATAK Testing
User Feedback
Litchi,
Open Source Navigation Code,
Drones
Trained Deep Learning Model,
Drones
ATAK Team
- R.K.
- M.F.
- DARPA
SOCOM Operators
Litchi (?)
Open source drone software community
Kespry,
DJI
7. Activities+Resources
Physical Resources: Drones-- COT or Partner
drones; ATAK setup
Financial resources: S&T Funding, SBIR Funding,
other contracts; Corporate partners
Human Resources: Hire, contract, or recruit
computer vision expert; Find mentors in Stanford CV
Lab
Intellectual Property: Trade secret on algorithms
and training data; copyright on software code; TM on
name. Potential patent depending on R-CNN tech
Technological Resources:
Computer Vision: Trained Algorithms, Data, Computing
Power
ATAK Integration: ATAK source code, ATAK setup
Drones: COT drones, human expertise to hack them,
IR sensors, OR partner drone company
Develop Software: Computer Vision to
recognize people, cars, animals
-Geolocation of person on a map
Integrate with Existing DoD Tech: Develop
plug-in for ATAK; run software on other DoD
sensors and feeds
Hack Drones: Either hack COT drones
ourselves or partner with a company that can
provide them
Sell to SOCOM: Use S&T or SBIR process
8. Mission Model Canvas
-Software development
computer vision on drone
feeds
-People recognition
-Geolocation of person
populated on map
-Integration with existing
DoD tech
-Autonomous drone
hacking-not manufacturing
- Hack COT drone like DJI
- Partner with drone maker
- Become sensor neutral
Funding from DoD
- SOCOM
- S&T and acquisition PMs
- Contracting PMs
- DARPA
Computer Vision
- Amazon--AWS
- Movidius
-MotionDSP, OceanIT
-Stanford CV Lab
-Independent computer
vision experts/contractors?
ATAK Integration
- ATAK Programmers
- DARPA
- “JL” for geolocation
Autonomous Drones
-DJI
-Kespry
- Programmable drone
manufacturers (eg: Solo)
- Increase situational
awareness through computer
vision, recognition of people
and objects
- Provide low-cost method of
reconnaissance
-Easy UI and use through
integration w/ ATAK
- New contracts and revenue
streams through the DoD
- New use cases for product
- Reputation and awareness
-Added value to current
program/technology
- Low-cost detection of
movement and people at
border
- Increase ability to respond
to sensors
- Fulfill S&T Topic of Interest requirements
- Establish and meet Key Performance Parameters (KPPs)
- Discover what’s possible under SBIR OSD-162-003X
- Achieve 80% accuracy rate on detecting people, with few false positives
- Find long-term customers in DoD
- Fulfill the DARPA wish list of technical features
- Fulfill BAA-16-31 requirements
- Improved identification and tracking of suspected illegal border crossers.
Get awareness w/ demo
days, technical experiment.
conferences, etc.
-S&T UAV Topic of Area--
submit white paper
-SBIR Phase 1 Grant
“How to” youtube videos,
customer support
-Commercial partnership
-Exchange expertise and
collaborate
Computer Vision
- Computer Vision expert: over $100 per hour
-MotionDSP- free
- Data- ??
ATAK- free
Drones- $1k and up
Other- costs of maintenance, updates, and training
-Demonstrate utility + low-
cost- gain support from
senior personnel
-Show opportunities for new
revenue streams
-Add utility to current program
of record to increase adoption
-Start a company or get
acquired by another company
Beneficiaries
Mission AchievementMission Budget/Costs
Buy-In/Support
Deployment
Value PropositionKey Activities
Key Resources
Key Partners
Funding/Money
Computer Vision
-Computing power
-Algorithms
-Training data: blimp or
drone footage
ATAK Integration
-ATAK source code
-DJI SDK or open-source
Autonomous Drone
__= New
SOCOM
- Tactical operators - SOF
(SF, Ranger, SEALS,
MARSOC/Recon, drone
operators)
- SOCOM PMs- Small UAV
S&T PM, Acquisition PM,
Kespry, OceanIT,
motionDSP, Stanford CV
lab, drone manufacturers
DARPA
Tactical Technology Office-
Persistent Air Support
Project
ATAK Program Manager
DHS
Border Patrol
Skynet
9. Potential Late-Stage Features
V2.0 V3.0
Encryption
Swarm
Auto-Docking
Classification
utilizing motion
tracking
Facial
Recognition
Weapon
Recognition
Inter-drone
Communication
Classification
utilizing age
heuristics
Size
classification
Augmented
Reality
Radio
Retrans
Operating
Range
Reduce
Bulk
Scale to other
platforms
Ruggedize
Drone
Battery Life
1hr
Thermal Crossover
Detection
Indoor
Navigation
Mil Reticle
Self determine
routes
Unplug from
ATAK
Force Protection
Mode
SAR Mode
Motion
Tracking
Laser Range
Finder
Reduced
noise
Computer
Vision
Machine
Learning
IR Computer
Vision
Operating
Mode
Networking
/ Comm.
Hardware /
Engineer
Systems
Integration
General
Programming
11. SkyNet: Value Proposition Canvas
- Image recognition software
applied on video feed
- Aerial perspective
- Hi-def camera
- Flexible deployment
Monitor the border
and respond to
emergencies, aliens
and complaints
Customer
Jobs
- border area is too large,
unable to ensure full coverage
- Impossible to look at the whole
border 24/7
- Limited aerial assets
Border Patrol
Gains
Pains
Gain
Creators
Pain
Relievers
- Survey more area without needing
more men
- Increased awareness when
entering situations
- utilize low-cost drone
swarm to increase border
coverage
- distributed autonomous
drones ensure high refresh
rate across the whole border
Products
& Services
Drone with visual
recognition
software
12. SkyNet: Value Proposition Canvas
- Knowing the locations of
friends/enemies/civilians
- Reduced ambiguity
- autonomous assessment of
aerial perspectives and video
feed Customer
Jobs
Shoot bad
guys without
getting shot
- Cognitive overload from
existing tools
-Manpower losses
- Hassle of systems not
communicating
SOF Elements (combat)
Gains
Pains
Gain
Creators
Pain
Relievers
-Increased situational awareness on
the battlefield
- Reconnaissance of
inaccessible places
- Integrate with current
systems that soldiers are
familiar with
- Frees up another soldier
Products
& Services
Situationally aware
drone with visual
interface
13. SkyNet: Value Proposition Canvas
- Automatic patrol
- Facial Recognition of people
identified in vicinity
- Automatic threat detection
to flag security threats
Customer
Jobs
Force protection
Day-to-day security patrols
are manpower intensive
Difficult to be always aware of
surroundings
SOF Elements (non-combat)
Gains
Pains
Gain
Creators
Pain
Relievers
- Reliable 24/7 Security Awareness
- Knowing who lives around you, and
who doesn’t
- Ability to respond quickly
to threats
- Swarms of drones can
replace patrol units
-24/7 situation awareness of
surroundings
Products
& Services
Situationally aware
autonomous
drones
14. SkyNet: Value Proposition Canvas
- Access into SOCOM
acquisitions
- building company’s
presence in military
Customer
Jobs
Make more money
Build customer
relationships
- Difficult to get large
contracts, technology still
maturing, only have limited
consumer market share
Commercial Partners
Gains
Pains
Gain
Creators
Pain
Relievers
-New revenue stream
-Potential long term partnership
- Contracts with military,
willing and eager to adopt
new technology (early
adopters) even if tech is not
fully matured
Products
& Services
Partnership /
contract
15. SkyNet: Value Proposition Canvas
- Integrating drone camera
feed enhanced with image
recognition
- augmenting ATAK interface
with image processing Customer
Jobs
Manage ATAK
System under
cost
- Proprietary technology
that does not talk to other
tech
- low adoption rate, ‘fancy new toy’
that’s not used much
ATAK Project Manager
Gains
Pains
Gain
Creators
Pain
Relievers
-Increased value to ATAK program
- Easy integration with ATAK
- Promote culture of open-
source
- improving receptiveness to
ATAK
Products
& Services
Autonomous drone
with live video feed
integrated with
ATAK
16. SkyNet: Value Proposition Canvas
-Image recognition software
first of its kind in the military
- tool could potentially be
applied across platforms (as
a software plugin) Customer
Jobs
Manage Programs
Fill gaps
- Tech is new and recognition
of potential enemy may trigger
blowback
- new technology always too expensive,
sometimes they don’t get used after
purchasing
SOCOM Small UAS PM
Gains
Pains
Gain
Creators
Pain
Relievers
- Provides new tool that existing
programs don’t provide
- Potential to scale
-Retain man-in-the-loop, test
software during training
stateside and slowly scale to
overseas.
- Maintain low costs by
utilizing COTS, consistently
engage user feedback at all
stages of development.
Products
& Services
COTS Drone with
visual recognition
software
21. Mission Achievement
Organization Beneficiary Mission Achievement
SOCOM Tactical operators Increase awareness of surroundings with minimal operator input.
PMs Get the right equipment to troops at a reasonable cost.
DARPA ATAK PM Get ATAK utilized in multiple military organizations, create a
plugin ecosystem to add value over time
TAK sUAS plugin team Fully implemented plugin features
DHS Border Patrol Improved identification and tracking of suspected illegal border
crossers.
Potential commercial
partners
Kespry/OceanIT/motionDSP Decreased R&D Costs, new revenue streams, relationships with
US Government customers. Improvements to existing technology
Skynet Team Skynet (Us) Awarded SBIR phase 1 & 2
OR
Transition to S&T acquisition process (via SOCOM) or corporate
partnership
23. Get / Keep / Grow – Border Patrol (SWAG)
Get
Strategy: Ethos, Excitement
Tactics: Utilize preexisting SOCOM contracts to build ethos, Demo / industry
day, quarterly exercises
Keep
Strategy: Become program of record, training and support
Tactics: Take steps to become program of record, maintenance program &
warranty, quality customer support, youtube training videos “How to do X in 5
mins”
Grow
Strategy: Get adopted by other agencies, upsell, develop dual use
Tactics: Unbundle from ATAK, develop new interfaces (AR), upgrade to
object classification, partner w/ traditional vendors and manufacturers, become
joint program of record, work with CTTO, RTTO and other agencies,
24. Get / Keep / Grow – SOCOM
Get
Strategy: Awareness, Excitement, Pressure on Management, Acquisition through S&T or
SBIR process
Tactics: Demo days, industry days, company nights, technical experimentation events,
yearly conference, quarterly exercises, cold calling, referrals by network, hackathons, focus
on Tier 1 Units (e.g. JSOC) and echelon 1 PMs
- Both operators and PMs
Keep
Strategy: training, support, iterate. Support phone number, support email, Field Service
Representative
Tactics: Maintenance program & warranty, quality customer support, youtube training
videos “How to do X in 5 mins”
Grow
Strategy: Get adopted by other agencies, upsell, develop dual use
Tactics: Unbundle from ATAK, develop new interfaces (AR), upgrade to object
classification, partner w/ traditional vendors and manufacturers, become joint program of
record, work with CTTO, RTTO and other agencies.