In this week’s podcast, I investigate edge-based data capture and AI computing in military programs with David Freeman (Mercury) and Randy Hayes (VAST Data Federal). We discuss the challenges involved with big data, mission critical AI and machine learning applications in rugged environments and how a new data center-class, all-flash network-attached storage system can help solve these issues. Also this week, I check out a new autonomous off-road combat vehicle developed by DARPA that can drive as fast as a human driver and navigate extremely rugged terrain.
Click here to download this episode
Links for October 21, 2022
More information about Mercury’s Rugged Data Storage System
Solution Brief: Mercury and VAST Federal, All-Flash Data Insights at the Edge
Rugged Data Storage (RDS) All-Flash Data Center-Class Network-Attached Storage Solution (RDS System datasheet)
RACER’s Off-Road Autonomous Vehicles Teams Expand to a Second Course Location (DARPA)
DARPA Robotic Autonomy in Complex Environments with Resiliency (RACER) Experiment 1 (Youtube)
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