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Showing posts with label geology. Show all posts
Showing posts with label geology. Show all posts

Monday, March 25, 2024

Sunday, August 13, 2023

Gems Formed In Metamorphic Rocks

Geology and gemstone formation always fascinates me. I think gemstone formation in a variety of rocks are happy accidents. Many thanks to GIA researchers and Gems & Gemology team for the insightful report.


Useful link:

Friday, June 25, 2021

Wednesday, March 25, 2020

How Geology Can Ease Your Mind

I think so. It is time for all the sciences to adopt a geologic respect for time and its capacity to transfigure, destroy, renew, amplify, erode, propagate, entwine, innovate, and exterminate.


Useful links:
https://www.lawrence.edu/academics/study/geosciences/faculty
http://nautil.us/issue/81/maps/how-geology-can-ease-your-mind

Tuesday, February 18, 2020

Built On Rock: The Geology At The Heart Of Oscars Sensation Parasite

Parasite is unashamedly about wealth, class, longing, scamming: what we want and what we will do to get it. At the heart of Bong's taut tragi-comedy is a rock, a viewing stone, a symbolic gift that drives his heroes, the Kim family, to inventive and deadly extremes in pursuit of more: more money, more opportunities, a better life. Geology----rocks, gems, stones----as a heavy-handed metaphor for wealth or class difference is common on screen. Hats off to Eve Willis for the insightful thoughts.


Useful links:
https://www.parasitemovie.co.uk
https://www.theguardian.com/film/2020/feb/17/parasite-viewing-stone-suseok-geology-bong-joon-ho-oscar-best-film

Saturday, May 04, 2019

Should 1950 Mark A New Geological Epoch?

It will be a fascinating field of study. A group of scientists will decide whether we sprang into this new geological epoch, called the Anthropocene, in 1950.

Useful link:
https://www.theatlantic.com/newsletters/archive/2019/04/anthropocene-era-just-meat-the-atlantic-daily/587251

Sunday, March 10, 2019

Random Thoughts

Today, there are companies applying machine learning to massive geological databases to see what they can learn. What the machines lack in intuition they may be able to make up for with the ability to look at far vaster quantities of data than any human ever could. And a machine could keep doing that millions of times until it finds something with predictive power. This has already been done, and drills are being sent to follow up on the targets generated as I type. If the results give the machines a significant edge, it would change the exploration game forever.