Topic Artificial
Intelligence and AWE
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| Send AWE notes and topic replies to editor@upperwindpower.com |
| May 22, 2020, post by Dave Santos AWEC2020Teleconference: AWES-AI Track KiteLabs
and kPower has explored the AWES AI topic since 2007. Starting at
KiteShip, I began a predicate calculus kite knowledge base to reason
over, a pioneering AWES AI architectural foundation that remains sound.
Since then, kPower has developed a Quantum-Computing Analogue theory of
classic kite autonomy and extended it to Quantum Metamaterial concepts
for AWE (Smart Kitematter).
JoeF can confirm that these ideas are currently advancing within an elite academic circle, as hinted in our Physics World
piece. In Austin, our quantum computing meetup group logs onto IBM's
historic first server to do calculations. I use these opportunities to
inform and inspire AWE's AI adoption far into the future. A metamaterial
kite formation may embody its own flight-solution computation, and
pending experiments are expected to validate theory. This is hot stuff.
"Wayne's World", if you will.
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| May 22, 2020, post by Joe Faust Roderick Read notes in his paper: "Parametric designs can be automatically evaluated, restructured and optimized with evolutionary iterations of Artificial Intelligence (AI) software. An AI system can evaluate large numbers of combinations of the parameters governing a network kite to derive AWES optimization models, which will otherwise take years to derive experimentally." |
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