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aiqbench takeMachine Learning

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This article centers on Tern's proprietary machine learning and edge processing stack that enables autonomous navigation without reliance on satellite GPS signals. The technology leverages vehicle diagnostic data to calculate precise latitude and longitude, addressing critical military needs for resilient positioning in jammed environments or denied areas. Such developments represent a significant application of advanced ML inference at the edge for defense-grade autonomy.
Source coveringTechCrunch
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

US Army places $11M bet on Austin-based GPS alternative Tern

TechCrunch3 min read

Tern has described its tech as "Google Maps for the battlefield."

Austin-based Tern has won a contract from the U.S. Army to deploy the startup’s low-cost GPS alternative tech. The $11.26 million contract will see the Army use Tern’s navigation tech in vehicles, though the startup was tight-lipped on the exact scale of the deployment of what it calls “Google Maps for the battlefield.” The Army is tapping Tern at a time when GPS disruptions are on…

Excerpt shown under the publisher's RSS terms · 66 words · full text and figures are on the publisher's site

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