Webinar: AI at the Tactical Edge: Protecting Machine Learning with Data Security

February 24, 2021 Shaza Khan

Artificial intelligence (AI) informed by compromised data can lead soldiers into contested territory, flag an innocent civilian as dangerous or prevent a passenger jet from landing safely. Machine learning at the edge requires big data processing and actionable, real-time intelligence, but data in the field can be lost, stolen or exploited. Mercury Systems and Intel are working together to design secure AI edge solutions to protect data and machine learning in the field.

Join us to discover more about:

The importance of data and model quality
Types of data bias and why data integrity is critical
Model and data security techniques for learning assurance
Strengthening edge cybersecurity with built-in hardware security
Solutions that enable certification of Intel multi-core processors

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Solutions Brief: Intel and Mercury Deliver Rugged Edge Processing and Advanced Security for Defense

Mercury Systems is partnering with Intel to develop high-performance, ruggedized, and secure edge computing...

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White Paper: Secure Processing Solutions for the Defense and Intelligence Industry

There is a gap within the community for reliable providers of secure, scalable and affordable subsystems th...

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Webinar: AI at the Tactical Edge: Protecting Machine Learning with Data Security

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