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Fitting AI under the SWaP umbrella
Reduced size, weight, and power (SWaP) requirements are also impacting artificial intelligence (AI) and machine learning (ML) designs. “Translating the commercial and consumer AI accelerator hardware technologies into the deployable, rugged, size, weight, and power (SWaP)-constrained systems mil/aero platforms often need” is a challenge, says David Tetley, principal software engineer, Abaco Systems (Huntsville, Alabama). Reduced SWaP tends to not be synergistic with cloud-based solutions that can appear to have an endless supply of virtual space.
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