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What is SWaP-Constrained Embedded Computing for Artificial Intelligence?

The U.S Air Force and Artificial Intelligence Hardware

We can of course seriously question whether advances in the field of artificial intelligence should be used for military purposes, I truly believe very few would want this to happen. Still there is development of technology in the military and this article is exploring a current venue of research posed in one media outlet online. This is a very short article touching on one topic within the field of artificial intelligence: SWaP AI.

SWaP AI: low size, weight, and power (SWaP) artificial intelligence (AI) solutions.

The Air Force in the U.S has stated it wants small, lightweight embedded computing for artificial intelligence (AI) and machine learning (AI/ML) capabilities in an embedded computing environment.

  • Intelligence, and assurance for command.
  • Control.
  • Communications.

“The Air Force needs unconventional computing architectures for pattern recognition, event reasoning, decision making, adaptive learning, and autonomous tasking on energy-efficient Air Force manned and unmanned aircraft.”

One interest aspect may be the major focus area. Neuromorphic computing — or brain-inspired computing.

  • Other considerations are ways to validate and improve scalability and security for artificial intelligence and machine learning technologies; deep-learning models and algorithms; and power-aware and energy-optimized deep learning models and algorithms for embedded computing.”

Written by

AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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