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Posted in futurism
Category: futurism – Page 336
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Posted in futurism
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Perhaps our best chance for nearby life in the Universe?
Posted on Big Think, for direct link see.
All that glitters isn’t usually gold, and the same is true for 183 million-year-old fossils found in the Posidonia Shale. Moreover, while the researchers used to think the shiny gold coating on the fossils was fool’s gold, new research has revealed a more surprising answer.
The Posidonia Shale in southwest Germany is the source of many of these golden-hued fossils, particularly those of soft-bodied sea life such as squid and ichthyosaur embryos that were around in the early Jurassic. These geological deposits containing soft-bodied preserves are known as Konservat-Lagerstätten and are extremely rare.
Previously it was thought that anoxic conditions helped to fossilize these specimens. While pyrite, also known as fool’s gold, was thought to be the source of this shine, a closer inspection has revealed more about the conditions in which these fossils were formed.
After decades of frustration, researchers have finally determined how an airborne scent molecule links to a human smell receptor.
That’s when major clean energy projects are also due to come online, including the country’s largest offshore wind farm, which comes at a price of $9.8 billion. Once built off the Virginia coast, this project could save the state’s customers as much as $6 billion during its first 10 years in operation.
Focusing on efficiency now will help avoid overbuilding renewable generation and allow such large-scale projects to make great strides toward a greener grid when they finally are welcomed online.
While making energy efficiency improvements isn’t a new idea, AI is enabling real-time data analysis and energy intelligence that can maximize efforts in a variety of ways that are chipping away at carbon emissions now.
Reactors small enough to fit on a truck might sound like something from ’60s science fiction, but they may be here soon.
See how you can extract quantitative data from your image using the AI pixel classifier.
More about Mica: https://fcld.ly/mica-yt-tut.
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Mica radically simplifies your workflows, but your workflow is not completed unless you have extracted quantitative information from that image.
Let me show you how easy it is to extract quantitative information with Mica.
First record your multicolor image.
In this case, we want to count the nuclei that we see in that image.
Go to Learn and load the image of interest.
Now you have two classes, the background and the nuclei that we want to quantify.
First of all, draw a background region.
Secondly, draw the object of interest.
Once you are done with that let Mica first create a preview of the annotation that you have created.
If you are happy with that, then do the full training.
Now you have trained an AI model that uses pixel classification in order to segment your nuclei.
Save that model and you can use that model also for all the experiments that you are doing in the future.
Simply go to Results, select the image to quantify, switch to Analysis and you will have access to all the different models that you have trained.
Select the one that you are interested in and Start.
As an output can display the data as histograms, boxplots or even scatterplots.
▬ Mica ▬▬▬▬▬▬▬▬▬▬▬▬
A mystifying swirl of light recently appeared in the night sky above Alaska, briefly outshining a vibrant auroral display.
Apple’s new high-yield savings account will get customers to stick around longer than a smartwatch.