Brains and Brawn: Autonomous Vehicles Need Soft and Hard Skills to Solve Our Transportation Woes | Seagate Blog
Self-driving cars use sonar, radar, LIDAR, and GPS to sense and navigate through the environment, generating massive amounts of data. That data must be available to the AI on each vehicle, shared with other vehicles, and also find its way to edge data centers for further analysis. How will the new data architectures at the edge support the multidimensional analysis of these vast datasets?
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