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The largest moon of the dwarf planet Pluto looks absolutely breathtaking in new high-resolution images captured during the New Horizon spacecraft’s flyby, and released by NASA in September 2023. This particular image was snapped by the Ralph/Multispectral Visual Imaging Camera (MVIC) on the spacecraft and includes details as small as 1.8-miles across, according to NASA. The colors have also been enhanced, combining red, blue, and infrared images, so that Charon’s various geological features are easier to see. NASA/JHUAPL/SwRI
Pluto has gotten a lot of love lately, both from scientists and the unscientific alike, thanks largely to the series of beautiful close-up images that NASA has published online following the unmanned New Horizon spacecraft’s flyby of the dwarf planet earlier this year. But now Pluto’s moon Charon is getting its own chance to shine in the spectacular new high-res images that NASA released today.
Charon is Pluto’s largest moon, but it is relatively tiny for the Solar System at just 754 miles in diameter (compared to Pluto’s 1,473-mile diameter). One of five moons orbiting the dwarf planet (the others are Nyx, Hydra, Kerberos, and Styx), Charon was long thought to be a relatively boring, crater-pocketed world, at least as far as its terrain goes.
But thanks to the New Horizons flyby, we now have access to the closest views of Charon ever captured—and they don’t disappoint. The images reveal this little alien moon is actually a fascinatingly diverse world, with a humungous canyon system stretching over 1,000 miles East to West across its meridian (about four times the length of the Grand Canyon, as NASA points out its news release). As John Spencer, a member of the New Horizons Geology, Geophysics and Imaging team put it in a statement provided by NASA: “It looks like the entire crust of Charon has been split open.” That may actually be fairly close to what happened on Charon in the past, because the canyon was clearly the result of some massive geologic or tectonic shift.
NASA stitched some of the new images together into a breathtaking video flyby of Charon, as well.
The new images have also led scientists to conclude that the smoother, less crater-dotted region of plains located just below the canyons in Charon’s southern hemisphere —a spot they’re calling “Vulcan Planum”— is a more recently-formed landscape. The fewer number of craters indicates the landscape hasn’t had as much time to be battered by meteors as other parts of Charon, and that there was some more relatively recent geological activity in the area, in order to smooth over any previously existing craters. Even more exciting is the possibility that Charon could have once had a subsurface ocean of liquid water, which later froze, then cracked open releasing lava to the surface, helping to form the new smooth terrain.
And if you think these views of Pluto’s biggest moon are great, you’re in luck: more and closer images captured by New Horizons are being processed and should be released in the coming months. That should help scientists learn even more about this mysterious world at the edge of our Solar System.
Pluto’s moon Charon, closer than ever
The largest moon of the dwarf planet Pluto looks absolutely breathtaking in new high-resolution images captured during the New Horizon spacecraft’s flyby, and released by NASA in September 2023. This particular image was snapped by the Ralph/Multispectral Visual Imaging Camera (MVIC) on the spacecraft and includes details as small as 1.8-miles across, according to NASA. The colors have also been enhanced, combining red, blue, and infrared images, so that Charon’s various geological features are easier to see.
Small moon Charon beats Earth in canyon size
Call it the Grand-er Canyon. Or maybe the Grandé Canyon. Whatever it is, the system of canyons and trenches stretches across Pluto’s moon Charon for over 1,000-miles, nearly four times as long as the Grand Canyon on Earth, according to NASA.
Pluto and Charon, the dwarf planet and its largest moon
Images of Pluto (right) and its biggest moon (Charon) captured separately by the New Horizons spacecraft during its flyby of Pluto in July 2023 have been color-enhanced by NASA, and combined into a mosaic released in September. The mosaic shows both worlds adjusted to account for their relative size: Pluto at 1,473 miles in diameter (2,370 kilometers), and Charon at just 754 miles in diameter (1,214 kilometers).
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The Mysterious Object Nasa Is Visiting In 2023 Might Have Its Very Own Moon
MU69 isn’t the most immediately appealing object in our solar system. It’s got a troublesome temporary name, it’s far away—a billion miles past Pluto—and it’s really, really hard to see.
But once you take a closer look, this scrappy object (called a cold classical Kuiper Belt Object) is actually fascinating. It’s a good thing the New Horizons spacecraft is already on its way for a visit.
MU69 is an object in the Kuiper Belt, a disc of asteroids, comets, dwarf planets, and so on orbiting the sun out beyond Neptune. We know very little about this area of the solar system, which is billions of miles beyond our world, and out of reach of many telescopes except in brief and blurry glimpses. New Horizons’ study of Pluto—and now MU69—offers us our closest look at this area of the solar system.
Recent efforts to catch a glimpse of the object revealed that it might once have been more than one body, smushed together over time into something called a contact binary. That’s the leading theory, but it could also be a true binary (two objects bound by gravity but separated by space) or just a single, potato-shaped blob.
But that wasn’t the only thing those early observations revealed. It turns out this strange object might have another sort of companion, too.
Teams of scientists tried three times to watch as MU69 passed in front of a star. On their first attempt on June 3, they saw nothing. On July 10, they saw one odd variation, but it was offset from its expected location by 50 miles. That was strange, but there was another chance coming up a week later. On July 17, the teams got 5 measurements, this time offset from the expected position by 25 miles.
The data was exciting, and it got scientists working on the project—including astronomer Marc Buie, a member of New Horizons’ science team—thinking. “We started wondering if there’s another one out there,” Buie says. The new results were presented at the annual meeting of the American Geophysical Union this week.
If there was a small companion whirling around MU69 in an orbital dance, the center of mass between the two objects would be right where they had expected MU69 to be. That offset object on July 10 was likely the moon, while the glimpses on July 17 were of MU69 itself, which helped inform guesses about its shape.
“It’s almost like we have three objects in one here,” Buie says. “This is going to have a lot of surprises. We really are going to see something that dates back to the beginnings of the solar system.”
Buie, while excited about the possibility, is also careful to emphasize that these results are preliminary. “The story could change next week, but this is our best understanding now,” Buie says.
The moon (if it exists) is likely less than 3.1 miles in diameter, and only about 125-186 miles away from the main body (or bodies) of MU69, which itself is only about 20 miles across. It might orbit every 2-4 weeks.
That’s still just a theory, and the researchers will have just one more chance to take a look at the object before the flyby starts. On August 4, 2023 there will be another occultation when MU69 passes in front of a fainter star. Then New Horizons, fresh off its triumphant observations of Pluto a few years ago, will finally get its first glimpse of the object in September 2023. At that point, researchers will start looking for this theoretical moon—and maybe even others.
“We won’t resolve the object until the week of the flyby. It will go from being a point of light to a new world to be explored,” says Alan Stern, New Horizons Principal Investigator.
We’re going to get a much better look on January 1, 2023 when New Horizons makes its closest approach. Images of the object will be sent back, and the science team hopes to characterize the geology of MU69’s dark, red surface and map its composition. They’ll look for rings, moons, and evidence of an atmosphere or gases.
“We’ve always had in our plans the possibility that there could be moons,” says John Spencer, part of the New Horizons team. They will be able to direct cameras towards any potential moons they might discover in the last few days, as the spacecraft starts its approach.
But first, New Horizons will go into hibernation next week. The final decision of the trajectory for the flyby will be sent out on December 25 next year. There will be three more opportunities to adjust the timing, but at 4 billion miles away, contact with Earth will take some time. The researchers expect that images will start to come back in the early days of the new year in 2023, a belated holiday present for space fans around the world.
Photoshop’s New Super Resolution Feature Makes Images Bigger, Not Blurrier
Upscaling a digital photo typically destroys its image quality. You lose detail and sharpness while adding ugly objects called artifacts to the file that make the whole picture look crunchy and unappealing. For years, however, companies like Adobe have been working on algorithms to try to bring the CSI “enhance” feature out of the world of TV fiction and into its image-editing software. The latest version of Photoshop makes a big leap in that direction with a feature called Super Resolution.
How to try Super ResolutionThe new feature is called Super Resolution and, if you have a current Creative Cloud subscription that includes Photoshop, you should have access to it right now.
To find it, open a photo in the Adobe Camera Raw (ACR) interface. If you open a raw photo taken from a digital camera, Photoshop should automatically open the file in ACR without any extra steps. If you’re trying to open another kind of file, like a JPEG or PNG, you can go through Adobe Bridge and open in Camera Raw.
With Super Resolution on
Without Super Resolution
What happens to the photos?Adobe is relying on its AI platform called Sensei to crunch the data needed to enhance your photos. The feature aims to double both the horizontal and vertical lines of resolution in the image, which results in quadruple the number of pixels.
In the example above, I ran the process on a raw file from my old Canon 6D full-frame DSLR, which I got soon after it came out in 2012. It has a respectable 20.2-megapixel resolution, which clocks in around 5,472 x 3,648. After the enhancement, however, Photoshop spit out a 79.8-megapixel file with a total resolution measuring 10,944 x 7,296.
When you’re looking at the photos zoomed out, you can see a difference, particularly in areas with a lot of detail (typically referred to as “high frequency” areas). The lines in the fencing clearly become more defined and the whole thing appears generally sharper. These improvements likely stem from a related feature called Raw Details, which lives in the same dialog box as Super Resolution. Raw Details increase sharpness around the edges of objects to make them appear more crisp.
https://youtu.be/-uNdijku7iY/
When you zoom in to the pixel level, it’s obvious that there is some image degradation that comes from the upscaling, but it also looks decidedly less pixelated and maintains more of the detail than if you had simply zoomed in or changed the size with the image size tool. It’s easier to read very small text and make out the look on the dog’s face, for example.
Why would you want to use it?While my 6D is old, its resolution isn’t that paltry. Something like Super Resolution can really come in handy when you’re working with much older DSLRs. My first serious digital camera, for instance, was a Canon 10D, which promised a whopping 6 megapixels way back in 2003. With just 6 megapixels of resolution, that’s not even enough pixels to natively fill a 4K screen, which requires more than 8 megapixels. Once we go up to 8K, it will take more than 33 megapixels to fill up a screen without upscaling.
In addition to older and lower-end cameras, this is also handy even if you just want to crop deeply into your own photos. For instance, I’ve cropped hard into this image taken with the 45-megapixel Canon R5, which drastically reduced its overall resolution. The enhance function, however, brought back some of that detail I would have otherwise lost.
It’s not magicIf you’re hoping to rescue that cherished image that only existed on Friendster back in 2005, but it only measures 800 x 600 pixels, don’t expect Super Resolution to work a miracle and let you blow it up to poster size. Also, the more image data it has to work with, the better job it will do on the upscaling. So, a raw file from a relatively recent DSLR or mirrorless camera will stand up much better than a lowly JPEG or PNG that you pulled down off the web.
Adobe also isn’t the only game in town when it comes to AI upscaling. Topaz Labs has been doing a great job with its algorithmic enlarging for some time now. That software can increase an image’s size by up to 600 percent under the right circumstances.
At the end of the day, however, Adobe is still the massive gorilla in the photo-editing space and having this tech baked into its flagship photo editor is a big deal. As with any Sensei-based software, Adobe plans to refine the algorithms over time, which should make Super Resolution work even better down the line as an incentive for people to keep those Creative Cloud subscriptions active.
Nvidia’s New Ai Model Can Convert Still Images To 3D Graphics
Nvidia’s technology can help train robots and self-driving cars, or create 3D settings for games, and animations with more ease.
Nvidia has made another attempt to add depth to shallow graphics. After converting 2D images into 3D scenes, models, and videos, the company has turned its focus to editing. The GPU giant today unveiled a new AI method that transforms still photos into 3D objects that creators can modify with ease. Nvidia researchers have developed a new inverse rendering pipeline, Nvidia 3D MoMa that allows users to reconstruct a series of still photos into a 3D computer model of an object, or even a scene. The key benefit of this workflow, compared to more traditional photogrammetry methods, is its ability to output clean 3D models capable of being imported and edited out-of-the-box by 3D gaming and visual engines.
According to reports, other photogrammetry programs will turn 2D images into 3D models, Nvidia’s 3D MoMa technology takes it a step further by producing mesh, material, and lighting information of the subjects and outputting it in a format that’s compatible with existing 3D graphics engines and modeling tools. And it’s all done in a relatively short timeframe, with Nvidia saying 3D MoMa can generate triangle mesh models within an hour using a single Nvidia Tensor Core GPU.
David Luebke, Nvidia’s VP of graphics research, describes the technique with India Today as “a holy grail unifying computer vision and computer graphics.”
“By formulating every piece of the inverse rendering problem as a GPU-accelerated differentiable component, the NVIDIA 3D MoMa rendering pipeline uses the machinery of modern AI and the raw computational horsepower of NVIDIA GPUs to quickly produce 3D objects that creators can import, edit, and extend without limitation in existing tools,” said Lubeke.
With this, Nvidia says that its technology is “one of the first models of its kind to combine ultra-fast neural network training and rapid rendering.” As mentioned in its blog, Instant NeRF can learn a high-resolution 3D scene in seconds, and “can render images of that scene in a few milliseconds.” This is touted to be “more than 1,000x speedups” than regular NeRF processes seen to date.
What Is a NeRF?According to Nvidia, NeRFs use neural networks to represent and render realistic 3D scenes based on an input collection of 2D images. Collecting data to feed a NeRF is a bit like being a red carpet photographer trying to capture a celebrity’s outfit from every angle — the neural network requires a few dozen images taken from multiple positions around the scene, as well as the camera position of each of those shots.
In a scene that includes people or other moving elements, the quicker these shots are captured, the better. If there’s too much motion during the 2D image capture process, the AI-generated 3D scene will be blurry. From there, a NeRF essentially fills in the blanks, training a small neural network to reconstruct the scene by predicting the color of light radiating in any direction, from any point in 3D space. The technique can even work around occlusions — when objects seen in some images are blocked by obstructions such as pillars in other images.
The technology could be used to train robots and self-driving cars to understand the size and shape of real-world objects by capturing 2D images or video footage of them. It could also be used in architecture and entertainment to rapidly generate digital representations of real environments that creators can modify and build on. Beyond NeRFs, NVIDIA researchers are exploring how this input encoding technique might be used to accelerate multiple AI challenges including reinforcement learning, language translation, and general-purpose deep learning algorithms.
More Trending StoriesOpen Multiple Images As Layers In Photoshop
Open Multiple Images As Layers In Photoshop
Learn how easy it is to open multiple images at once into a Photoshop document, with each image placed on its own layer, and how to add more images to the document as you need them. Watch the video or follow along with the written tutorial below it!
Written by Steve Patterson.
Whether we’re compositing images, creating collages or designing layouts, we often need to load multiple images into the same Photoshop document. And each image needs to appear on its own layer within that document. But that’s not how Photoshop works when we open multiple files. Instead, each file opens in its own separate document, forcing us to move the images ourselves from one document to another.
But there is a way to open multiple images at once into the same document using a command called Load Layers into Stack. And we can add more files to the document as we need them using a different command known as Place Embedded. In this tutorial, I’ll show you how both of these features work. We’ll also look at a few options in Photoshop’s Preferences that make placing images into your document even faster. And as a bonus, I’ll finish things off by blending my images into a simple double exposure effect.
Let’s get started!
Which version of Photoshop do I need?I used Photoshop 2023 for this tutorial but any recent version up to 2023 will work. Get the latest Photoshop version here.
How to load multiple images as layers in PhotoshopLet’s start by learning how to load multiple images as layers into the same Photoshop document. For that, we use a command called Load Files into Stack. And not only does this command load your images, but it even creates the Photoshop document for you! Here’s how to use it.
Step 1: Choose “Load Files into Stack”In Photoshop, go up to the File menu in the Menu Bar, choose Scripts, and then choose Load Files into Stack:
Step 2: Select your imagesThen in the Load Layers dialog box, set the Use option to either Files or Folder. Files lets you select individual images within a folder, while Folder will load every image in the folder you select. I’ll choose Files.
Cloud documents or local filesChoosing to load files on my computer.
Selecting your imagesThen navigate to the folder that holds your images and choose the files you need. In my case, I’ll select all three images in the folder.
Notice the names of my images. We have “texture.jpg”, “portrait.jpg” and “sunset.jpg”. Photoshop will use these names when naming the layers, so it’s a good idea to rename your files first.
Selecting the images to load into Photoshop.
And back in the Load Layers dialog box, the name of each file appears in the list:
The names of the images that will be loaded into Photoshop.
How to remove an imageYou can remove any images you don’t need.
Leave the two options at the bottom of the dialog box (“Attempt to Automatically Align Source Images” and “Create Smart Object after Loading Layers”) unchecked.
Photoshop creates a new document, and after a few seconds, the images are placed into it:
A new Photoshop document is created.
And in the Layers panel, each of your selected images appears on its own layer, with each layer named after the name of the file:
The Layers panel showing each image on its own layer.
Use the visibility icons to show or hide layers.
How to place an image into a Photoshop documentSo that’s how to create a new Photoshop document and load multiple images into it. Now let’s learn how to add more images to the document using the Place Embedded command.
In the Layers panel, I’ll delete my “portrait” layer by dragging it down onto the trash bin:
Deleting one of the layers.
Step 1: Choose “Place Embedded”To add a new image to your document, go up to the File menu and choose Place Embedded.
There is also a similar command called Place Linked which will simply link to the file on your computer. But to load the image directly into your document, choose Place Embedded:
Step 2: Select your imageI’ll choose my portrait image:
Selecting the image to place into the document.
Step 3: Accept and close Free TransformNow before Photoshop places the image, it first opens the Free Transform command so you can resize the image if needed:
Photoshop opens Free Transform before placing the image into the document.
The image is placed as a smart objectPhotoshop places the image into the document. But notice in the Layers panel that the image appears not as a normal layer but as a smart object, indicated by the icon in the lower right of the thumbnail:
Photoshop places the image as a smart object.
Smart objects are very powerful. But they also have limitations, and the biggest one is that a smart object is not directly editable.
For example, I’ll select the Rectangular Marquee Tool from the toolbar:
Selecting the Rectangular Marquee Tool.
And then I’ll drag out a selection around the woman’s eyes:
Selecting part of the smart object.
Related: How to use the new Object Selection Tool in Photoshop CC 2023
I’ll invert the selection by going up to the Select menu and choosing Inverse:
And then I’ll delete everything around my initial selection by pressing the Backspace (Win) / Delete (Mac) key on my keyboard.
Photoshop could not edit the smart object.
Related: Learn how to edit smart objects!
How to convert a smart object to a normal layerSo depending on what you’ll be doing with the image, a smart object may not be what you want. In that case, you’ll need to convert the smart object back into a normal layer after you’ve placed it into your document.
And then choose Rasterize Layer from the menu:
Choosing the Rasterize Layer command.
The smart object icon disappears from the thumbnail, and we now have a normal pixel layer:
The smart object has been converted to a pixel layer.
If I press Backspace (Win) / Delete (Mac) on my keyboard, this time Photoshop deletes the selection as expected:
The selection was deleted after converting the smart object to a pixel layer.
How to make placing images into Photoshop fasterSo now that we know how to place an image into a document, let’s look at a few options in Photoshop’s Preferences that can help you place images even faster.
To open the Preferences on a Windows PC, go up to the Edit menu. On a Mac, go up to the Photoshop menu. From there, choose Preferences and then General:
Opening Photoshop’s General Preferences.
Skip Transform when PlacingTo prevent Photoshop from opening Free Transform every time you place an image, turn on the Skip Transform when Placing option:
The “Skip Transform when Placing” option.
Always Create Smart Objects when PlacingTo stop Photoshop from automatically converting images into smart objects, turn off Always Create Smart Objects when Placing. You can always convert a layer to smart object yourself when you need to:
The “Always Create Smart Objects when Placing” option.
Resize Image During PlaceAnd this third option won’t speed things up but it’s definitely worth looking at. By default, if you place an image into a document and the image is larger than the canvas size, Photoshop will automatically resize the image to fit the canvas. In other words, it will make your image smaller.
The “Resize Image During Place” option.
Bonus: Blending the layers to create a double exposureSo we’ve learned how to load multiple images at once into a Photoshop document using the Load Files into Stack command, and how to add more images using the Place Embedded command. I’ll finish off this tutorial by quickly blending my three images together to create a simple double exposure effect.
I’m starting with my portrait image at the top of the layer stack, which makes it the image that’s visible in the document:
The portrait image. Credit: Adobe Stock.
Moving the sunset layer above the portraitDragging the sunset above the portrait.
And now my sunset image is visible:
The sunset image. Credit: Adobe Stock.
Changing the blend modeTo blend the sunset in with the portrait, I’ll change the blend mode of the sunset layer from Normal to Screen:
Changing the layer’s blend mode to Screen.
The Screen blend mode keeps the white areas of the portrait visible and reveals the sunset in the darker areas:
The result after changing the blend mode of the sunset layer to Screen.
Moving the texture layer above the sunsetNext, I’ll drag my texture layer above the sunset layer:
Dragging the texture layer to the top of the stack.
And now the texture image is visible:
The texture image. Credit: Adobe Stock.
Changing the blend mode and layer opacityTo hide the dark areas of the texture and keep only the lighter areas, I’ll change its blend mode to Screen.
I’ll also lower the layer’s Opacity down to around 70%:
Changing the blend mode and lowering the opacity of the texture.
And here’s the result with the texture now blended into the effect:
The result after changing the blend mode of the sunset layer to Screen.
Related: Learn three easy ways to blend images in Photoshop!
Merging the layers onto a new layerFinally, to add a bit more contrast to the effect, I’ll merge all three layers onto a new layer above them by pressing Shift+Ctrl+Alt+E on a Windows PC, or Shift+Command+Option+E on a Mac:
Merging the existing layers onto a new layer.
Learn more: The essential Photoshop layers power shortcuts!
Increasing the contrastAnd then to increase the contrast, I’ll go up to the Image menu and I’ll choose Auto Contrast:
And here is my final result:
The final double exposure effect.
And there we have it! Check out my Layers Learning Guide to learn more about layers, or our Photoshop Basics or Photo Effects section for more tutorials!
Top 10 Cryptocurrencies That Will Touch The Moon In 2023
These cryptocurrencies have a great future ahead in 2023
Cryptocurrencies have taken a solid place in the trading market. A lot more people are interested in buying cryptocurrency and Analytics Insight has selected the 10 most purchased cryptocurrencies in August 2023.
BitcoinBitcoin is considered the original crypto, and its launch in 2009 is what started the whole cryptocurrency movement. Bitcoin – and the blockchain technology on which it operates – was invented by an individual or group of individuals operating under the pseudonym Satoshi Nakamoto. Bitcoin was put forward as an alternative to the fiat monetary system. The true identity of Satoshi Nakamoto has never been revealed. In the Bitcoin whitepaper, Nakamoto argued that a fiat monetary system controlled by central banks and a small number of financial institutions led to a centralized wealth and power and made social and financial mobility difficult. Ordinary people’s savings were eroded through inflation, largely as a result of central banks’ money printing. Bitcoin solved that problem by fixing the number of units ever issued, thereby preventing inflation caused by money printing. Bitcoin’s peer-to-peer blockchain technology meant it didn’t need financial institutions to facilitate transactions and verify ownership. Bitcoin is still by far the most popular cryptocurrency and its price movement has a strong impact on the rest of the crypto market.
Ethereum (Ether)Ethereum is historically the second most popular cryptocurrency however it is very different from Bitcoin. Ethereum is the name of the blockchain platform and Ether is the name of the cryptocurrency. Ethereum is the blockchain platform for smart contracts. They can also be considered as defined ‘rules’ from which many different applications, or Dapps – decentralized applications – can be created from. Ethereum Dapp’s range from games to Initial Coin Offerings (ICOs), which are the cryptocurrency world’s equivalent to crowdfunding or IPOs. While other smart contract platforms have been launched since Ethereum, each claiming to offer more sophisticated blockchain technology, the original blockchain has retained its position as the most utilized. While Bitcoin is intended as an alternative to traditional fiat currencies, the purpose of Ether (besides being traded as an asset) is to pay for use of the Ethereum platform. It’s known as a ‘utility’ cryptocurrency.
Ripple XRPRipple XRP is another ‘utility’ coin. Its blockchain platform is set up to facilitate cross-border transfers of fiat currency more efficiently. Closely connected to and supported by several banks from its beginning, Ripple XRP is often regarded as the ‘establishment’ cryptocurrency. The number of transfer services using Ripple’s platform has gradually grown over the years and there is a genuine possibility that it will become part of the traditional financial system.
LitecoinLitecoin is another potential fiat alternative and a prominent rival for Bitcoin. Its creators hope Litecoin will eventually be used to pay for everyday goods and services. Litecoin has positioned itself as a more practical and technologically superior alternative to Bitcoin. Litecoin transactions can be confirmed by the P2P network significantly quicker than Bitcoin transactions. In theory, this could make Litecoin more attractive for merchants, but with ‘real-life’ cryptocurrency transactions still hugely limited, Bitcoin’s more established ‘brand’ keeps it well out in front as the fiat alternative cryptocurrency of choice.
NEOLike Ethereum, NEO is a smart contract and Dapps platform. Released in 2014, NEO’s ambition was to improve upon Ethereum by offering approximately the same utility through a technologically more sophisticated example of blockchain technology. Many argue NEO is the technically superior platform to Ethereum but, as is the case with Litecoin and Bitcoin, the latter’s more established position has helped it maintain a larger market share.
IOTAIOTA is a unique cryptocurrency that is based on the Directed Acyclic Graph (DAG) structure, created to work with Internet of Things (IoT) devices. IoT facilitates feeless microtransactions involving connected devices, and it also helps maintain their data integrity. More recently, IOTA jumped to the top of the list of most traded cryptocurrencies and appears to have a big future, with IoT technology becoming the standard.
TetherTether is a cryptocurrency with tokens issued by Tether Limited, which in turn is controlled by the owners of Bitfinex. Tether is called a stable coin because it was originally designed to always be worth US$1.00, maintaining US$1.00 in reserves for each tether issued.
CardanoCardano is a public blockchain platform. It is open-source and decentralized, with consensus achieved using proof of stake. It can facilitate peer-to-peer transactions with its internal cryptocurrency, Ada. Cardano was founded in 2023 by Ethereum co-founder Charles Hoskinson.
DogecoinDogecoin is a cryptocurrency created by software engineers Billy Markus and Jackson Palmer, who decided to create a payment system as a joke, making fun of the wild speculation in cryptocurrencies at the time. Despite its satirical nature, some consider it a legitimate investment prospect.
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