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If The Universe Is A Hologram, We May Soon Gaze Into A Black Hole

A mind-bending theory called holographic duality could lead us into the universe’s deepest, darkest voids.

If you fell into a black hole, your journey might look something like this.

First, you’d stare into the rich, red event horizon of the abyss. Beyond this barrier, light cannot escape. As you get closer, your body would stretch out like chewing gum until it spaghettifies into the void. If you’re still conscious at this point, you’d peer out the entrance and watch a warped universe grow smaller by the second. That wouldn’t be your universe anymore. The black hole would be.

In all probability, though, you’d quickly be ripped to shreds.

Because of this absolutely horrifying disaster, we’ll likely never receive firsthand evidence of what lies within these cosmic mysteries. But in a paper published this month in the journal PRX Quantum, scientists are working toward the next best thing. They developed computing algorithms to help solve a mind-bending theory in physics called «holographic duality.»

In a nutshell, holographic duality suggests that the three-dimensional universe, like space inside black holes, is mathematically strung to the two-dimensional universe, like particle planes and magnetic fields. It basically presents the fabric of spacetime as a 3D hologram «projected» by 2D webs.

I know what you’re thinking. No, this wouldn’t be like the Star Trek holodeck. Unlike classic sci-fi holograms projected by light from a screen, holographic duality is bound by pure mathematics.

«It has not been proven formally, under the point of view of rigorous mathematics, but we know many examples where this duality actually works,» says lead author Enrico Rinaldi, a research scientist at the University of Michigan, based in Tokyo and hosted by the Riken Center for Quantum Computing and the Theoretical Quantum Physics Laboratory.

If holographic duality truly dictates the universe, scientists wouldn’t have to go inside a black hole to take a picture of it. Instead, they could study easy-to-handle 2D space around the beast, then extrapolate the 3D architecture lurking inside. «It is often the case that things difficult to compute on one side are easy to compute on the other side,» Rinaldi says. «That is why this duality is very important and useful.»

He compares the idea to having a dictionary where you can look up a word on one page and find its meaning on another. We just need some sort of index to bridge the 2D space-words with their 3D space-definitions — aka, the mathematical connection. And that’s precisely what Rinaldi’s algorithms are poised to do.

However, before we can use them to unlock the inside of a black hole, there are several, pretty trippy, steps to take. «The duality, as it is right now, applies to a specific spacetime, which is different from the spacetime of our universe,» Rinaldi says.

In other words, holographic duality is confined to a sort of alternate, theoretical world that scientists use as a sandbox.

A spacetime playground

1916 was a big year for physics. Albert Einstein had published the first of many papers that would forever alter the field: a holy grail chronicle of general relativity. Since then, the theory has earned a reputation for being unbreakable. I could go on forever about its spectacular consequences, but here’s the important part for holographic duality.

Suppose you have a trampoline and drop a soccer ball into it. The flat surface will morph inward, depending on where the ball settles. Now, add a tiny marble to the scene. It’ll fall along the trampoline’s curve and nestle next to the soccer ball.

In this analogy, the marble is you, the soccer ball is Earth and the trampoline is the intangible fabric of space and time — spacetime. According to general relativity, gravity is this «curve» we fall along until we’re planted on the ground.

In our universe — which, per experts, is known as the «de Sitter» universe — spacetime’s curvature is positive. That’s a problem. A positive model isn’t great for math equations, Rinaldi explains, especially when it comes to ultra high-dimensional ones. But there’s an easy fix. Scientists simply calculate stuff in a theoretical universe with negative curvature: the anti de Sitter universe. Then they translate their results back to our realm.

Fast-forward to the late 1960s. String theory is born.

Allowing for simplification, string theory says if you break down atoms, the building blocks of our universe, into elementary particles, then pulverize those into even smaller specks, and so on, you’ll eventually get to infinitesimal vibrating «strings

Presumably, these strings make up all we know: particles, fields, spacetime. If string theory is true, even you and I are made up of the wiggling bits. That’s why this concept is such a big deal. It might well be the closest we’ve gotten to a theory of everything. On the flip side, however, some physicists consider string theory a dead end because we still haven’t found concrete evidence for its premises.

But regardless, string theory requires unfathomable 11-dimension equations — as you might’ve guessed, that means it’s rooted in the anti de Sitter universe. And per Rinaldi, holographic duality relies on string theory. Thus, it’s also rooted in the anti de Sitter universe.

«Black holes we can investigate right now, with this duality, are not the same black holes that we imagine being out there,» Rinaldi says. «These black holes are a sort of mathematical playground that we can use to formulate this duality and test it.»

Simply put: In this mathematically ideal universe, Rinaldi is observing theoretical black holes to understand holographic duality. It’s like playing a game in tutorial mode before the real level starts. Our universe.

Getting to that level, though, is the crux of this whole procedure. «If we can do it for anti de Sitter,» Rinaldi says, «then we should be doing it for de Sitter.»

«The final goal is still to be able to describe gravity and black holes in our universe.»

The road into a black hole

OK, here’s where it all comes together.

First, a quick recap: Holographic duality can show us what’s inside a black hole because it suggests the 2D universe is connected to the 3D universe via mathematics. We just have to construct an index to bridge the two dimensions. But holographic duality is based on string theory. So, first, we have to make the index’s blueprints in our sandbox universe — the theoretical, anti de Sitter universe.

How do we make the blueprints? Well, Rinaldi says, start with the easier side. That’s the 2D half. But even though this side hurts less to think about, it isn’t that simple; we still need strong numerical methods to analyze it. «That’s what we’re doing,» Rinaldi says. «The numerical part.»

Think of the universe as a blanket knitted by strings that have a bunch of points. Rinaldi’s algorithms use quantum computing and deep learning to help calculate where these points are on the blanket and how they’re attached to each other. The goal is to sort of draw out the «strings» of string theory, then put them all together, like cosmic connect-the-dots.

However, the researchers are still in the proof-of-principle stage. They solved a few prototype points with their method, but these points don’t really represent anything. In the future, though, Rinaldi says the method can scale up to study complex points really present on anti de Sitter strings, including those relevant to anti de Sitter black holes.

Then, we’ll be on our way to making the anti de Sitter 2D-to-3D index that’ll reveal the insides of these theoretical black holes.

Then, if the index is precise enough, it can be translated to our true-to-the-bone, observable universe.

Then… we can use the final index to learn about the threatening insides of real, de Sitter black holes from the comfort of our homes and tucked away from terror.

A new theory of everything?

When you think about the steps Rinaldi and tons of other researchers are taking to realize the insides of a black hole — study prototype theoretical universe strings, scale up to learn about the full theoretical universe’s geometry, zero in on theoretical black holes, take all of that and filter the real universe through it, and probably more we can’t even comprehend — a jarring question might be… why?

Why does this all matter?

«We think we are very close to explaining the information paradox of black holes,» Rinaldi says. «If information goes inside a black hole, general relativity says, OK, whatever goes in is gone forever.»

But quantum mechanics, the other founding principle of our universe, says you cannot lose information. It says information is always maintained. Perhaps it can change, transform or adapt, but it cannot go away. So what’s happening to the information plunging into these massive space-borne voids?

«Stephen Hawking came up with this idea of the evaporation of a black hole and said ‘Look, actually there is stuff coming out of a black hole, it’s just slowly coming out’,» Rinaldi says.

But even those bits coming out don’t look like what went in. Stuff still seems lost in the process. «This is a very, very big problem in physics,» Rinaldi says. «And people are using the duality to understand that paradox.» If we can understand what’s inside, then maybe we can prove so-called lost information is actually, well, inside.

«Maybe it’s not lost, it’s just in a different configuration. It’s not particles anymore; it’s not spacetime anymore; it’s something else.»

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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