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2020/12/29

Neatorama

Neatorama


Apple Pie Art

Posted: 28 Dec 2020 08:07 PM PST

Redditor emkay95 made a full-size apple rose tart for Christmas and wanted to show it off. Isn't it lovely? She said it was so labor-intensive she probably wouldn't ever make another. It's a good thing she took a picture before baking it.

That was a heartbreaking twist for readers, who were even more upset that she didn't take pictures of the aftermath. So no apple pie for Christmas dinner?

Well. It had tinfoil over it so it was kind of saved. We still made it and ate it but it wasn't so beautiful anymore and kind of tasted like defeat

I'm sure it was delicious. Here's the recipe she used, although she did make a few alterations. Your mileage may vary.

Is The Commentator All Right?

Posted: 28 Dec 2020 01:25 PM PST

To what would you compare a home run? For this commentator, he would compare it to an ex-girlfriend. Did he just break up with a girl when this happened? Was it recent that time? Only he knows.

Well, what do you think?

(Image Credit: Most Viral/ Team Super Saiyan/ YouTube)

We Can Now Measure Electricity In Cells

Posted: 28 Dec 2020 09:53 AM PST

Scientists from UChicago have created a groundbreaking tool called Voltair that allows researchers to measure voltage differences between organelles. Scientists knew that there were voltage differences in the organs of the human body. However, they weren't able to measure these. This went on for decades.

"Scientists had noticed for a long time that charged dyes used for staining cells would get stuck in the mitochondria," explained graduate student Anand Saminathan, the first author for the paper, which was published in Nature Nanotechnology. "But little work has been done to investigate the membrane potential of other organelles in live cells."
The Krishnan lab at UChicago specializes in building tiny sensors to travel inside cells and report back on what's happening, so that researchers can understand how cells work—and how they break down in disease or disorders. Previously, they have built such machines to study neurons and lysosomes, among others.
In this case, they decided to use the technique to investigate the electric activities of the organelles inside live cells.

Details over at PHYS.org.

Awesome!

(Image Credit: allinonemovie/ Pixabay)

When It’s Difficult To Create A Mental Image

Posted: 28 Dec 2020 09:53 AM PST

Can you picture your first grade classroom? How about that restaurant where you had your first date? For many of us, it would be easy, but for some, it is extremely difficult.

These individuals have a rare condition called aphantasia, which prevents them from easily recreating images in their mind's eye—in fact, the phrase "mind's eye" may be meaningless to them.
"Some individuals with aphantasia have reported that they don't understand what it means to 'count sheep' before going to bed," said Wilma Bainbridge, an assistant professor of psychology at the University of Chicago who recently led a study of the condition, which can be congenital or acquired through trauma. "They thought it was merely an expression, and had never realized until adulthood that other people could actually visualize sheep without seeing them."

What goes inside the mind of an individual who has aphantasia? Bainbridge's study, published in the journal Cortex, sheds some light on the topic. More about this over at MedicalXpress.

(Image Credit: geralt/ Pixabay)

DeepMind’s MuZero Masters Games Even Without Learning The Rules

Posted: 28 Dec 2020 09:53 AM PST

If you want to be great at games, consider paying attention to Albert Einstein's advice, which is to learn the rules of the game, and then play better than anyone else. Of course, this is easier said than done. But if you're an AI like DeepMind, then it would be much easier for you — so much easier that you can even skip Einstein's first advice.

DeepMind, a subsidiary of Alphabet, has previously made groundbreaking strides using reinforcement learning to teach programs to master the Chinese board game Go and the Japanese strategy game Shogi, as well as chess and challenging Atari video games. In all those instances, computers were given the rules of the game.
But Nature reported… that DeepMind's MuZero has accomplished the same feats—and in some instances, beat the earlier programs—without first learning the rules.
Programmers at DeepMind relied on a principle called "look-ahead search." With that approach, MuZero assesses a number of potential moves based on how an opponent would respond. While there would likely be a staggering number of potential moves in complex games such as chess, MuZero prioritizes the most relevant and most likely maneuvers, learning from successful gambits and avoiding ones that failed.

More details about this over at TechXplore.

Wow!

(Image Credit: PIRO4D/ Pixabay)

Quantum Philosophy and Reality

Posted: 28 Dec 2020 09:53 AM PST

For many years, scientists have been trying to understand reality through the laws of physics. However, it would seem that the more they try to understand, the more confused they become. The reason for this? Quantum philosophy. ScienceX tells us four ways of how this certain subject challenges your perception of reality. Learn more about this over at the site.

(Image Credit: insspirito/ Pixabay)

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