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Home » Can Machine Learning Help Harness the Power of the Sun?
Hyperautomation Minute

Can Machine Learning Help Harness the Power of the Sun?

Enterprise AI Minute Ep 44
Aaron BackBy Aaron BackMay 5, 2022Updated:May 27, 20222 Mins Read
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This episode is brought to you by the Cloud Wars Expo. This in-person event will be held from June 28th to 30th at the Moscone Center in San Francisco, California.

Highlights

00:30 — Fusion energy is the science fiction of the world—a promise of unlimited carbon-free energy. The process to harness the fusion energy state means you have to essentially harvest the power of the sun.

01:00 — This implies that you would have to heat fuel to above 100 million degrees. At this point, electrons are completely stripped of their atoms and what’s left is a form of matter called plasma.

01:20 — Scientists have used strong magnetic fields to isolate hot plasma. However, there is a great challenge in predicting the temperature and density profiles for the magnetic fields required to confine the plasma.

01:50 — Despite this challenge, researchers have developed a way to use machine learning to reduce the required CPU time and maintain the level of solution accuracy.

02:00 — Turbulence is the mechanism of heat loss of confined plasma. There needs to be a consistent calculation of the plasma profiles to accurately predict how to contain the plasma.

02:45 — The outcomes of this research will have a long-term impact. By harnessing complex algorithms with very demanding parameters, we can apply that to future uses of AI and machine learning.


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Aaron Back
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Aaron Back (Bearded Analyst), Chief Content Officer for Acceleration Economy, focuses on empowering individuals and organizations with the information they need to make crucial decisions. He surfaces practical insights through podcasts, news desk interviews, analysis reports, and more to equip you with what you need to #competefast in the acceleration economy. | 🎧 Love listening to podcasts wherever you go? Then check out my "Back @ IT" podcast and listen wherever you get your podcasts delivered: https://back-at-it.simplecast.com #wdfa

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