Science & Technology
But in a paper recently published in Science Advances, we show that, in the micro-world of atoms and particles that is governed by the strange rules of quantum mechanics, two different observers are entitled to their own facts. In other words, according to our best theory of the building blocks of nature itself, facts can actually be subjective.
Observers are powerful players in the quantum world. According to the theory, particles can be in several places or states at once - this is called a superposition. But oddly, this is only the case when they aren't observed. The second you observe a quantum system, it picks a specific location or state - breaking the superposition. The fact that nature behaves this way has been proven multiple times in the lab - for example, in the famous double slit experiment (see video below).
Now scientists in Britain say they can make even more realistic 3-D versions — a butterfly, a globe, an emoji — which can be seen with the naked eye, heard and even felt without the need for any virtual reality systems.
Writing in the journal Nature, a team at the University of Sussex in southern England, said technology currently in use can create 3-D images but they are slow, short-lived and "most importantly, rely on operating principles that cannot produce tactile and auditive content as well".
To fill in the picture, so to speak, the team created a prototype called Multimodal Acoustic Trap Display (MATD) which "can simultaneously deliver visual, auditory and tactile content".

The Kentish Plover (right) and White-faced Plover (left) are look very similar but are in fact different species
Using state-of-the-art genomics analysis, the team revealed that the Kentish plover and White-faced plover diverged approximately half a million years ago due to cycling sea level changes between the Eastern and Southern China Sea causing intermittent isolation of the two regional populations.
The issue has come to light after a user going by the name Joshua Maddux took to Twitter to report the unusual behavior, which occurs in the Facebook app for iOS. In footage he shared, you can see his camera actively working in the background as he scrolls through his feed.
The problem becomes evident due to a bug that shows the camera feed in a tiny sliver on the left side of your screen, when you open a photo in the app and swipe down. TNW has since been able to independently reproduce the issue.
Here's what this looks like:

Artist's illustration of Planet Nine, a hypothetical world that some scientists think lurks undiscovered in the far outer solar system
The research, published in Research Notes of the AAS, notes that TESS is able to take multiple images of the same spot in space, potentially locating trans-Neptunian objects, also known as TNOs.
Since TESS is able to detect objects at approximately 5 pixel displacement and Planet Nine "has an expected magnitude of 19 < V < 24," the possibility is raised "that TESS could discover it!" the authors wrote in the study.
"What TESS is doing is staring at regions in the sky for months for at a time," the study's lead author, Harvard University astrophysicist Matt Holman, said in an interview with Fox News. "It's looking for exoplanets and you can find those by looking at the paths of the host stars."

Scientists are finding that galaxies can move with each other across huge distances, and against the predictions of basic cosmological models. The reason why could change everything we think we know about the universe.
But despite their differences, and the mind-boggling distances between them, scientists have noticed that some galaxies move together in odd and often unexplained patterns, as if they are connected by a vast unseen force.
Galaxies within a few million light years of each other can gravitationally affect each other in predictable ways, but scientists have observed mysterious patterns between distant galaxies that transcend those local interactions.

Jezero crater, where NASA plans to land a new Mars rover next year, is home to the remains of an ancient river delta. Researchers have now found deposits of hydrated silica, a mineral that's especially good at preserving microfossils and other signs of past life, near the delta.
Next year, NASA plans to launch a new Mars rover to search for signs of ancient life on the Red Planet. A new study shows that the rover's Jezero crater landing site is home to deposits of hydrated silica, a mineral that just happens to be particularly good at preserving biosignatures.
"Using a technique we developed that helps us find rare, hard-to-detect mineral phases in data taken from orbiting spacecraft, we found two outcrops of hydrated silica within Jezero crater," said Jesse Tarnas, a Ph.D. student at Brown University and the study's lead author. "We know from Earth that this mineral phase is exceptional at preserving microfossils and other biosignatures, so that makes these outcrops exciting targets for the rover to explore."
Researchers used more than 2 million ECG results from more than three decades of archived medical records in Pennsylvania/New Jersey's Geisinger Health System to train deep neural networks — advanced, multi-layered computational structures. Both studies, from the same group of researchers, are among the first to use artificial intelligence to predict future events from an ECG rather than to detect current health problems, the scientists noted.
Comment: RT further reports that doctors aren't exactly sure what the AI system is detecting:
Predicting the risk of a heart attack or other heart-related issues, the AI performed better than its human counterparts, consistently scoring above flesh-and-blood doctors. Even for ECG results that cardiologists determined to be normal, the AI was able to pick up on other patterns and accurately predict fatal health risks within a year's time.
"That finding suggests that the model is seeing things that humans probably can't see, or at least that we just ignore and think are normal," Fornwalt said.To further compare the AI's methods to present-day doctors, the researchers also set up a second algorithm to consider other factors commonly measured by physicians, including age and gender, but the first model designed to crunch raw ECG data alone still won out in its forecasting abilities.AI can potentially teach us things that we've been maybe misinterpreting for decades.
The AI was trained based on historical ECG data, meaning that researchers already knew the outcome in each patient's case and could measure the algorithm's precision. But it is yet to be checked on real-time data in clinical studies to verify it can indeed predict and improve health outcomes. The research team at Geisinger will present its findings later this month at the American Heart Association's Scientific Sessions in Philadelphia.This is exciting and provides more evidence that we are on the verge of a revolution in medicine where computers will be working alongside physicians to improve patient care.
The data comes from Curiosity, the Mars rover that's been making its slow and methodical trek across the crater floor and up the foot of Mount Sharp in the centre of it.
The robot isn't just looking down at the rocks beneath its treads; Curiosity also takes readings of the Martian atmosphere to measure the seasonal atmospheric changes. It's been up there for three Mars years now (that's six Earth years), and scientists poring over the measurements have noticed that oxygen in the planet's atmosphere isn't behaving entirely as expected.
There actually isn't all that much oxygen on Mars. Most of its thin atmosphere (95 percent by volume) is carbon dioxide, or CO2. The rest is made up of 2.6 percent molecular nitrogen (N2), 1.9 percent argon (Ar), 0.16 percent molecular oxygen (O2), and 0.06 percent carbon monoxide (CO).
(Earth's atmosphere, by contrast, is mostly nitrogen, at 78.09 percent by volume, and 20.95 percent oxygen.)
On Mars, atmospheric pressure changes over the course of the year. On the winter hemisphere, CO2 freezes over the pole, which causes the pressure to drop across the hemisphere. This results in a hemisphere-to-hemisphere redistribution of gases to equalise atmospheric pressure planet-wide.

The ultrafast star S5-HSV1 being ejected from the Milky Way, artist’s concept
The team led by Sergey Koposov of Carnegie Mellon University's McWilliams Center for Cosmology spotted the star, known as S5-HVS1, in the Crane-shaped constellation Grus some five million years after it was unceremoniously fired from our galaxy, never to return.
"The velocity of the discovered star is so high that it will inevitably leave the galaxy and never return," Douglas Boubert, a researcher at the University of Oxford and co-author on the study, explained.










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