Thursday, April 15, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

L3Harris is building an AI tool to help process imagery

March 19, 2020
in Machine Learning
L3Harris is building an AI tool to help process imagery
587
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

L3Harris is building a new platform that will help analysts in the military use artificial intelligence to identify objects in large imagery data sets.

“In general, there’s a big challenge with the amount of remote sensing data that’s coming down, whether that’s from space or airborne assets,” explained Will Rorrer, principal of business development for geospatial at L3Harris Technologies.

You might also like

AI.Reverie names Aayush Prakash as Head of Machine Learning

Three Privacy Preserving Machine Learning Techniques Solving This Decade’s Most Important Issue

Sailthru Announces Machine Learning Features for Improved Lifecycle Optimization

“So there’s lots of imagery and other data types coming down from above, so much so that it really can’t be looked at in its entirety — certainly not exploited in its entirety — by traditional means (with) purely human analysts. And so things like counting objects in imagery, monitoring different places, that’s where there’s a natural adoption of machine learning type of techniques,” he continued.

L3Harris officials declined to share who the end customer for their product will be or the exact value of their multimillion dollar contract, which was issued by the Air Force Life Cycle Management Center.

It’s no secret that the Department of Defense and the intelligence community are eager to use artificial intelligence tools to sift through the vast torrent of data created by an ever increasing number of sensors and pick out the most important information for human analysts. For its platform, L3Harris is focusing on creating the training data and workflows that will enable a machine learning tool to process data for the Department of Defense and provide deliverable intelligence.

Machine learning platforms are essentially made of three parts: the training data the neural network will learn from, the machine learning algorithm itself, and then how the platform integrates into other Department of Defense systems.

L3Harris will be working on what Rorrer calls the front end and the back end of the AI platform.

“A lot of AI/ML technologies can be ported into that middle category,” he said. “Neural network applications that have been developed in commercial space can be brought in if we can address the front end and the back end of that in DoD space.”

Know all the coolest acronyms
Sign up for the C4ISRNET newsletter about future battlefield technologies.

Enter a valid email address

Thanks for signing up!

By giving us your email, you are opting in to the C4ISRNET Daily Brief.

For nearly 30 years, L3Harris has been incorporated advanced modeling and simulation capabilities to test out new payloads and optical systems, using computers to plot out how the atmosphere and other factors will impact their technologies. Now the company plans to use those modeling and simulation tools to develop the training data that will teach a machine learning algorithm how to solve complex DoD problems, such as identifying a threatening object within satellite imagery.

“All of that summed up—we make very good fake imagery,” said Rorrer. “ We’ve taken that technology that was essentially developed for another reason and pivoted (to using it) as a source of synthetic training data for these neural net applications.”

Synthetic training data can be especially important for developing DoD or intelligence community AI applications, since there’s often not enough real world imagery of the threats they’re focused on, said Rorrer. L3Harris believes that they can create fake imagery that looks enough like the real thing that when real imagery is fed into the algorithm it can find the objects it’s supposed to.

“On the back side, it’s the overall management of the workflows,” said Rorrer.

In other words, it’s about making sure the algorithm’s outputs can be integrated with other DoD systems.

Also, as a machine learning tool is used to process real data, it naturally changes and incorporates what it learns into its algorithm. The DoD needs to know how the algorithm is changing over time and it needs to trace the outputs back to what inputs were fed into it.

L3Harris declined to give a timeline for delivery of the tool, although they noted that the contract included a base year with options years the Air Force could exercise.


Credit: Google News

Previous Post

Daniel Dennett’s Chinese Room - Becoming Human: Artificial Intelligence Magazine

Next Post

Q&A: Peter Stein, CEO, Agreement Solutions

Related Posts

AI.Reverie names Aayush Prakash as Head of Machine Learning
Machine Learning

AI.Reverie names Aayush Prakash as Head of Machine Learning

April 15, 2021
Three Privacy Preserving Machine Learning Techniques Solving This Decade’s Most Important Issue
Machine Learning

Three Privacy Preserving Machine Learning Techniques Solving This Decade’s Most Important Issue

April 15, 2021
Sailthru Announces Machine Learning Features for Improved Lifecycle Optimization
Machine Learning

Sailthru Announces Machine Learning Features for Improved Lifecycle Optimization

April 14, 2021
Global Machine Learning Market In-Depth Qualitative Insights & Future Growth Analysis 2021-2027 – The Courier
Machine Learning

Global Machine Learning Market In-Depth Qualitative Insights & Future Growth Analysis 2021-2027 – The Courier

April 14, 2021
Seminar on Machine Learning Techniques in Banking – India Education| Global Education |Education News
Machine Learning

Seminar on Machine Learning Techniques in Banking – India Education| Global Education |Education News

April 14, 2021
Next Post
Q&A: Peter Stein, CEO, Agreement Solutions

Q&A: Peter Stein, CEO, Agreement Solutions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

100+ critical IT policies every company needs, ready for download
Internet Security

100+ critical IT policies every company needs, ready for download

April 15, 2021
NSA Discovers New Vulnerabilities Affecting Microsoft Exchange Servers
Internet Privacy

NSA Discovers New Vulnerabilities Affecting Microsoft Exchange Servers

April 15, 2021
AI.Reverie names Aayush Prakash as Head of Machine Learning
Machine Learning

AI.Reverie names Aayush Prakash as Head of Machine Learning

April 15, 2021
Why Corporate AI Projects Fail? Part 2/4 | by Sundeep Teki, PhD | Apr, 2021
Neural Networks

Why Corporate AI Projects Fail? Part 2/4 | by Sundeep Teki, PhD | Apr, 2021

April 15, 2021
How to Analyze Influencer Campaign Performance
Marketing Technology

How to Analyze Influencer Campaign Performance

April 15, 2021
Six courses to build your technology skills in 2021 – IBM Developer
Technology Companies

How AI helps Overwatch League process 410M data points to build power rankings – IBM Developer

April 15, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • 100+ critical IT policies every company needs, ready for download April 15, 2021
  • NSA Discovers New Vulnerabilities Affecting Microsoft Exchange Servers April 15, 2021
  • AI.Reverie names Aayush Prakash as Head of Machine Learning April 15, 2021
  • Why Corporate AI Projects Fail? Part 2/4 | by Sundeep Teki, PhD | Apr, 2021 April 15, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates