Webinar: AI at the Tactical Edge: Securing Machine Learning for Multi-Domain Operations

Kristie Sombatphibane

Future military personnel will operate in an entirely unique battlefield – one where synchronized data, technologies and human capabilities across land, maritime, air, space and cyber domains ensure military superiority. But, harnessing converged data streams –simultaneously and securely – is not simple, due to exponential amounts of data and dynamic battlefield scenarios. By utilizing edge computing and open software stacks, machine learning (ML) data can be deployed and accelerated to retain operational advantage. Mercury Systems, NVIDIA and SigmaX are securing machine learning for multi-domain operations with agile edge servers and cloud-native open software stacks that streamline deployment in theater. 

Join us to learn more about: 

  • The importance of cloud-native platforms 
  • Why data flow matters
  • Maintaining data integrity to enhance cybersecurity
  • Architecting edge computing to reduce risk and accelerate ML
Previous Asset
White Paper:  Bringing Commercial Technologies to Defense in the Age of AI
White Paper: Bringing Commercial Technologies to Defense in the Age of AI

Artificial Intelligence (AI) is rapidly transforming the defense industry by broadening the scope of machin...

Next Asset
White Paper:  Tackling AI and Multi-Domain Workloads in Real Time with PCIe Gen 4.0
White Paper: Tackling AI and Multi-Domain Workloads in Real Time with PCIe Gen 4.0

PCIe Gen 4 technologies increase application efficiency by eliminating bottlenecks and increasing throughpu...

×

Interested in our technology? Contact Sales

First Name
Last Name
Company
Country
State
Phone Number
Comments or Inquiry
Thank you, we will get back to you soon!
Error - something went wrong!
×

Please register to view this content

First Name
Last Name
Company
Job Title
Country
State
Opt me in to receive communications from Mercury Systems
Thank you
Error - something went wrong!