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The basis of the universe may not be energy or matter but information
In this radical view, the universe is a giant supercomputer processing particles as bits.
There are lots of theories on what are the basis of the universe is. Some physicists say its subatomic particles. Others believe its energy or even space-time. One of the more radical theories suggests that information is the most basic element of the cosmos. Although this line of thinking emanates from the mid-20th century, it seems to be enjoying a bit of a Renaissance among a sliver of prominent scientists today.
Consider that if we knew the exact composition of the universe and all of its properties and had enough energy and know-how to draw upon, theoretically, we could break the universe down into ones and zeroes and using that information, reconstruct it from the bottom up. It’s the information, purveyors of this view say, locked inside any singular component that allows us to manipulate matter any way we choose. Of course, it would take deity-level sophistication, a feat only achievable by a type V civilization on the Kardashev scale.
Mid-20th century mathematician and engineer Claude Elwood Shannon, is thought the creator of classical information theory. Though few know of him outside of scientific circles, he’s being hailed today as the “father of the digital age.” Shannon’s spark of genius came in 1940 at MIT, when he noticed a relationship between Boolean algebra and telephone switching circuits.
Claude E. Shannon with his electronic mouse. Bell Labs, 1952. Getty Images.
Soon after, he was hired by Bell Labs to devise the most efficient way to transfer information over wires. In 1948, he penned “A Mathematical Theory of Communication,” essentially laying the foundation for the digital age. Shannon was the first to show that mathematics could be used to design electrical systems and circuits.
Before him, it was done through expensive model-making, or mere trial and error. Today, Boolean algebra is used to design communication and computer systems, hardware, software, and so much more. Basically, anything that generates, stores, or transfers information electronically, is based on Shannon’s tome.
That's not all. Shannon defined a unit of information, the binary unit or bit. Bits are a series of 0s and 1s, which help us to store and recall information electronically. Moreover, he was the first to transform data into a commodity. Its value he said was proportional to how much it surprised the consumer.
In addition, he connected electronic communication to thermodynamics. What's now called “Shannon entropy,” measures the disorder or randomness inherent in any communications system. The greater the entropy, the less clear the message, until it becomes unintelligible. As for information theory, he developed that during World War II, while trying to solve the problem of sending an encrypted message over a static-ridden telephone or telegraph line.
Claude E. Shannon laid the groundwork for communication technology. Getty Images.
To look at information theory from a quantum viewpoint, the positions of particles, their movement, how they behave, and all of their properties, give us information about them and the physical forces behind them. Every aspect of a particle can be expressed as information, and put into binary code. And so subatomic particles may be the bits that the universe is processing, as a giant supercomputer. Besides quantum mechanics, since Shannon elucidated it, information theory has been applied to music, genetics, investment, and much more.
Science writer James Gleick, author of The Information, contends that it wasn’t Shannon, but early 19th century mathematician Charles Babbage, who first called information the central component of all and everything. Babbage is credited for first conceptualizing the computer, way before anyone had the ability to even build one.
The eminent John Archibald Wheeler in his later years was a strong proponent of information theory. Another unsung paragon of science, Wheeler was a veteran of the Manhattan Project, coined the terms “black hole” and “wormhole,” helped work out the “S-matrix” with Neils Bohr, and collaborated with Einstein on a unified theory of physics.
Physicist John Wheeler coined the term black hole. By Deutsch: Ute Kraus, Wikimedia Commons.
Wheeler said the universe had three parts: First, “Everything is Particles,” second, “Everything is Fields,” and third, “Everything is information.” In the 1980s, he began exploring possible connections between information theory and quantum mechanics. It was during this period he coined the phrase “It from bit.” The idea is that the universe emanates from the information inherent within it. Each it or particle is a bit. It from bit.
In 1989, Wheeler produced a paper to the Santa Fe institute, where he announced "every it--every particle, every field of force, even the space-time continuum itself--derives its function, its meaning, its very existence entirely--even if in some contexts indirectly--from the apparatus-elicited answers to yes-or-no questions, binary choices, bits."
A team of physicists earlier this year announced research conclusions that would make Wheeler smile. We might be caught inside a giant hologram they state. In this view, the cosmos is a projection, much like a 3D simulation. What’s weird is that the laws of physics operate well in a 2D quantum field within a 3D gravitational one.
It’s important to note that most physicists believe that matter is the essential unit of the universe. And information theory’s proof is limited. After all, how would you test for it?
Is the universe a giant hologram inside a supercomputer? Getty Images.
If the nature of reality is in fact reducible to information itself, that implies a conscious mind on the receiving end, to interpret and comprehend it. Wheeler himself believed in a participatory universe, where consciousness holds a central role. Some scientists argue that the cosmos seems to have specific properties which allow it to create and sustain life. Perhaps what it desires most is an audience captivated in awe as it whirls in prodigious splendor.
Modern physics has hit a wall in a number of areas. Some proponents of information theory believe embracing it may help us to say, sew up the rift between general relativity and quantum mechanics. Or perhaps it’ll aid in detecting and comprehending dark matter and dark energy, which combined are thought to make up 95% of the known universe. As it stands, we have no idea what they are. Ironically, some hard data is required in order to elevate information theory. Until then, it remains theoretical.
To learn more about information theory as the basis of the universe, click here:
A Mercury-bound spacecraft's noisy flyby of our home planet.
- There is no sound in space, but if there was, this is what it might sound like passing by Earth.
- A spacecraft bound for Mercury recorded data while swinging around our planet, and that data was converted into sound.
- Yes, in space no one can hear you scream, but this is still some chill stuff.
First off, let's be clear what we mean by "hear" here. (Here, here!)
Sound, as we know it, requires air. What our ears capture is actually oscillating waves of fluctuating air pressure. Cilia, fibers in our ears, respond to these fluctuations by firing off corresponding clusters of tones at different pitches to our brains. This is what we perceive as sound.
All of which is to say, sound requires air, and space is notoriously void of that. So, in terms of human-perceivable sound, it's silent out there. Nonetheless, there can be cyclical events in space — such as oscillating values in streams of captured data — that can be mapped to pitches, and thus made audible.
Image source: European Space Agency
The European Space Agency's BepiColombo spacecraft took off from Kourou, French Guyana on October 20, 2019, on its way to Mercury. To reduce its speed for the proper trajectory to Mercury, BepiColombo executed a "gravity-assist flyby," slinging itself around the Earth before leaving home. Over the course of its 34-minute flyby, its two data recorders captured five data sets that Italy's National Institute for Astrophysics (INAF) enhanced and converted into sound waves.
Into and out of Earth's shadow
In April, BepiColombo began its closest approach to Earth, ranging from 256,393 kilometers (159,315 miles) to 129,488 kilometers (80,460 miles) away. The audio above starts as BepiColombo begins to sneak into the Earth's shadow facing away from the sun.
The data was captured by BepiColombo's Italian Spring Accelerometer (ISA) instrument. Says Carmelo Magnafico of the ISA team, "When the spacecraft enters the shadow and the force of the Sun disappears, we can hear a slight vibration. The solar panels, previously flexed by the Sun, then find a new balance. Upon exiting the shadow, we can hear the effect again."
In addition to making for some cool sounds, the phenomenon allowed the ISA team to confirm just how sensitive their instrument is. "This is an extraordinary situation," says Carmelo. "Since we started the cruise, we have only been in direct sunshine, so we did not have the possibility to check effectively whether our instrument is measuring the variations of the force of the sunlight."
When the craft arrives at Mercury, the ISA will be tasked with studying the planets gravity.
The second clip is derived from data captured by BepiColombo's MPO-MAG magnetometer, AKA MERMAG, as the craft traveled through Earth's magnetosphere, the area surrounding the planet that's determined by the its magnetic field.
BepiColombo eventually entered the hellish mangentosheath, the region battered by cosmic plasma from the sun before the craft passed into the relatively peaceful magentopause that marks the transition between the magnetosphere and Earth's own magnetic field.
MERMAG will map Mercury's magnetosphere, as well as the magnetic state of the planet's interior. As a secondary objective, it will assess the interaction of the solar wind, Mercury's magnetic field, and the planet, analyzing the dynamics of the magnetosphere and its interaction with Mercury.
Recording session over, BepiColombo is now slipping through space silently with its arrival at Mercury planned for 2025.
Research suggests that aging affects a brain circuit critical for learning and decision-making.
As people age, they often lose their motivation to learn new things or engage in everyday activities. In a study of mice, MIT neuroscientists have now identified a brain circuit that is critical for maintaining this kind of motivation.
Researchers develop the first objective tool for assessing the onset of cognitive decline through the measurement of white spots in the brain.
- MRI brain scans may show white spots that scientists believe are linked to cognitive decline.
- Experts have had no objective means of counting and measuring these lesions.
- A new tool counts white spots and also cleverly measures their volumes.
White spots and educated guesses<p>The white spots, or "hyperintensities," are brain lesions—fluid-filled holes in the brain believed to have been left behind by the breaking down of blood vessels that had previously provided nourishment to brain cells.</p><p>Prior to the new research, the quantity of white spots was assessed using an imprecise three-point scale indicating ascending likelihoods of dementia: A minimal number of spots was considered as level 1, a medium number of spots level 2, and a great number of them level 3.</p>
How the new measurements were derived<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNDYwMTc1OS9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYzNDQ1ODExNX0.vqhQJSvL99KjOe24TOs4E8R7c6-pprbXYSrGcIqbVps/img.jpg?width=980" id="c64d9" class="rm-shortcode" data-rm-shortcode-id="002d9b8ef47b5a86c3a387ad2cd90629" data-rm-shortcode-name="rebelmouse-image" />
Credit: sfam_photo/Shutterstock<p>The team of researchers from NYU's Langone's <a href="https://med.nyu.edu/departments-institutes/neurology/divisions-centers/center-cognitive-neurology" target="_blank">Center for Cognitive Neurology</a> and <a href="https://med.nyu.edu/departments-institutes/neurology/divisions-centers/center-cognitive-neurology/alzheimers-disease-research-center" target="_blank">Alzheimer's Disease Research Center</a> were led by <a href="https://med.nyu.edu/faculty/jingyun-chen" target="_blank">Jingyun "Josh" Chen</a>. They analyzed 72 MRI scans from a national database of older people taken as part of the <a href="http://adni.loni.usc.edu" target="_blank">Alzheimer's Disease Neuroimaging Initiative</a> (ADNI). The scans were mostly of white people over age 70, and there were a roughly equivalent number of men and women. Some had normal brain function, some were presenting moderate cognitive decline, and some had severe dementia.</p><p>Without knowing each individual's diagnosis, the researchers analyzed the white spots in their scans. While the team counted each scan's lesions, the innovation they introduced was the production of a 3D measurement for each lesion's fluid volume. The measurement was derived by measuring a lesion's distance from opposite sides of the brain.</p><p>Measurements of 0 milliliters (mL) were assessed for areas without white spots, with other white spots coming up as containing 60 mL of fluid. Chen's team predicted that volumes over 100 mL could signify severe dementia.</p><p>"Amounts of white matter lesions above the normal range should serve as an early warning sign for patients and physicians," Chen told <a href="https://nyulangone.org/news/white-matter-lesion-mapping-tool-identifies-early-signs-dementia" target="_blank">NYU Langone Health NewsHub</a>.</p><p>When the team compared the likely diagnoses derived from their calculations against the individuals' medical records, they found that their predictions were correct about 7 out of 10 times.</p><p>The researchers compiled their formulas into an online tool that's available to physicians for free via <a href="https://github.com/jingyunc/wmhs" target="_blank" rel="noopener noreferrer">GitHub</a>. The researchers plan to further refine and test it using an additional 1,495 brain scans representing a more diverse group of individuals from the ADNI database.</p>