Finding Climate Change Needles In Climate Haystacks Using Machine Learning

Credit to Author: Michael Barnard| Date: Wed, 29 Jan 2020 22:00:37 +0000

machine learningMachine learning can find patterns that are much more difficult to predict or analyze, and find predictive value in massive data sets when humans can’t discern them. But human’s have neural nets too, goopy ones between our ears, and the practice of hypothesis-test-assess continues to yield value without any intelligence of the artificial sort

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Machine Learning Makes More Money For Renewable, Fleet, & Microgrid Operators

Credit to Author: Michael Barnard| Date: Mon, 20 Jan 2020 23:30:08 +0000

Machine learning initiatives are emerging in multiple markets where there are less irrational forces at play than are seen in the stock market. Commodity and energy markets have clear drivers for price, and emerging ancillary markets such as demand management are providing new and often complex ways to gain a profitable edge

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Researchers Use Artificial Intelligence To Optimize Spray-On Solar Cell Technology

Credit to Author: Steve Hanley| Date: Mon, 30 Dec 2019 20:25:27 +0000

perovskite solar cellsSpray on perovskite solar cells could make abundant solar electricity possible worldwide but finding the correct formula could require billions of calculations. Researchers at the University of Central Florida think artificial intelligence could help.

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The Man & Machine Issue: Artificial Intelligence vs. Human Behavior

Credit to Author: Alex Voigt| Date: Sat, 09 Nov 2019 20:30:18 +0000

The world is currently discussing if artificial systems are good or bad, will help us or destroy us, and if they will ever function or not, and by doing that people make the mistake of actually trying to answer the wrong question. As of today, the biggest question about artificial intelligence is not the system [&hellip

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Southern Florida Among Spots At Greater Risk Due To Sea Level Rise, Finds New Machine Learning Study

Credit to Author: Michael Barnard| Date: Mon, 04 Nov 2019 22:25:53 +0000

The new CoastalDEM, machine-learning enabled predictions of extreme coastal water level risk exposures much higher. Legacy models showed 250 million people at risk by 2050. With CoastalDEM, a hundred million more people are at risk

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Tesla Full Self Driving: Feature Complete ≠ Experienced Driver

Credit to Author: Maarten Vinkhuyzen| Date: Tue, 29 Oct 2019 07:01:53 +0000

There is much confusion about “feature complete” Full Self Driving, a Tesla-only product. Many think that is when Full Self Driving is available and you can take a nap while the car is driving. When you think about the features that have been released up until now, you will understand better

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