AI at the edge: Data to decision

October 4, 2022 Mercury Systems

Optimizing big data collected by sensors into real-time, clear and actionable intelligence to improve multidomain decision-making: This is the promise of AI at the edge, which, in the defense industry, is now more a requirement than a futuristic idea.

The need for AI at the edge

Traditional sensors remain crucial components to our current defense assets. They also collect vast amounts of data, known as big data, which needs processing and optimization to decipher what is useful. For example, 18 hours of data from a sensor on a field-deployed Mine-Resistant Ambush Protected vehicle, or MRAP, might yield just five minutes of actionable intelligence.

But to first identify that snippet of info as valuable, sensor data must undergo a time-consuming journey via satellite to an off-site physical server building for processing — and back again. Add up the number of sensors across today’s multidomain defense platforms and technologies — from ships to drones to satellites — and the complications quickly multiply.

AI at the edge provides a more efficient approach via the placement of processing power near or at the point of ingestion. In other words, AI at the edge integrates sensors with onboard central and graphic processing units (CPUs and GPUs), field programmable gate arrays (FPGAs) and advanced AI software, eliminating the need to transfer data via satellite for processing. This means that the MRAP just mentioned can instead now process sensor data using AI and deep learning software via an onboard, rugged server at the point of data ingestion, immediately optimizing big data into useful, real-time intelligence. On-platform data center processing at the edge

Because AI and deep learning software get better with more information, big data now also becomes an aid, not a hindrance. By integrating processing and AI learning power in the field, instead of a server warehouse, sensors can also receive new abilities via cloud-based pushing of containerized apps to each asset, without the need for on-site IT support.

Learn more about AI at the edge

AI and big data processing are necessary components in developing safe and smart defense systems and are required for the modern, real-time intelligence-gathering needs of today’s forces. Join our on-demand webinar to learn more from leaders at Mercury Systems and from global partners NVIDIA and SigmaX.ai, or read our white paper about how Mercury’s Intel-powered rugged servers are bringing AI power to everything, everywhere.

Previous Article
Podcast: Operation Data Capture, Solving the Challenges of Battlefield Big Data and Mission Critical AI
Podcast: Operation Data Capture, Solving the Challenges of Battlefield Big Data and Mission Critical AI

Learn how a new data center-class, all-flash network-attached storage system can help solve your big data, ...

Next Article
The Mercury Processing Platform
The Mercury Processing Platform

Our capabilities, whether directly or indirectly, all have one thing in common — they are critical componen...

×

Let's Talk. Contact Sales

First Name
Last Name
Company
Country
State
Phone Number
Product Category
Product Title or Part Number
Comments or Inquiry
Thank you!
Error - something went wrong!