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Digital fashion marketplaces have recently opened, including DressX, hoping that shoppers will be keen to start a virtual wardrobe. Credit: DressX

Outfitting our digital personas is nothing new, from making pixelated Dollz in the early 2000s to shopping these days for new wardrobe additions in Animal Crossing. The video game industry has more recently laid the groundwork for digital fashion, with outfits or “skins,” in games like Overwatch and Fortnite generating billions in revenue.

Some major fashion players have already begun capitalizing on the gaming market — in 2019, Louis Vuitton designed skins for League of Legends, and Nike and Ralph Lauren have this year offered avatar accessories through the virtual world-building platform Roblox. Outside of gaming environments, NFTs — or non-fungible tokens, which use blockchain technology to verify ownership of digital assets — have allowed digital fashion to be monetized more broadly as well. (This fall, Dolce & Gabbana’s NFT collection sold out for 1,885.719 ETH, at the time equivalent to $6 million).

The months-long project demonstrates the physics behind the CPUs we take for granted.

Computer chips have become so tiny and complex that it’s sometimes hard to remember that there are real physical principles behind them. They aren’t just a bunch of ever-increasing numbers. For a practical (well, virtual) example, check out the latest version of a computer processor built exclusively inside the Minecraft game engine.

Minecraft builder “Sammyuri” spent seven months building what they call the Chungus 2, an enormously complex computer processor that exists virtually inside the Minecraft game engine. This project isn’t the first time a computer processor has been virtually rebuilt inside Minecraft, but the Chungus 2 (Computation Humongous Unconventional Number and Graphics Unit) might very well be the largest and most complex, simulating an 8-bit processor with a one hertz clock speed and 256 bytes of RAM.

Minecraft processors use the physics engine of the game to recreate the structure of real processors on a macro scale, with materials including redstone dust, torches, repeaters, pistons, levers, and other simple machines. For a little perspective, each “block” inside the game is one virtual meter on each side, so recreating this build in the real world would make it approximately the size of a skyscraper or cruise ship.

A look at methods and concerns for augmenting the human mind.
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Today we will be looking at Mind Augmentation, the basic concepts, methods, ethical concerns, and possible pitfalls entailed.

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Cover Art by Jakub Grygier:

Graphics Team:
Edward Nardella.
Jarred Eagley.
Justin Dixon.
Katie Byrne.
Kris Holland of Mafic Stufios:
Misho Yordanov.
Pierre Demet.
Sergio Botero:
Stefan Blandin.

Script Editing:
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Connor Hogan.
Edward Nardella.
Eustratius Graham.
Gregory Leal.
Jefferson Eagley.
Luca de Rosa.
Mark Warburton.
Michael Gusevsky.
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Steve Cardon.
Tiffany Penner.

AJ Prasad, “Cold Shadows“
Lee Rosevere, “It’s such a beautiful day“
Kai Engel, “Morbid Imagination“
Sergey Cheremisinov, “Jump in Infinity“
Markus Junnikkala, “A Memory of Earth“
Kai Engel, “Crying Earth“
Sergey Cheremisinov, “Labyrinth“
Brandon Liew, “Into the Storm”

Microsoft wasn’t the only big console maker hoping to bring its games to phones. The Verge said it has obtained a document from Epic Games’ lawsuit against Apple indicating the iPhone maker had learned Sony was planning a “mobile extension” of PlayStation Now in 2017. The service would stream over 450 PS3 games at first, and follow up with PS4 titles.

Apple mentioned the PlayStation Now expansion as it was in the early stages of developing Apple Arcade, its answer to Sony’s service as well as Xbox Game Pass. While Arcade didn’t launch until 2019 and still doesn’t include streaming, Apple saw PlayStation Now as indicative of a broader shift toward gaming subscriptions.

Provided Apple’s scoop was accurate, it’s unclear why Sony still isn’t streaming games to smartphone owners. A hybrid of PlayStation Now and PlayStation Plus is reportedly due in spring 2022, but the relevant rumor didn’t make mention of mobile access. Sony has already declined to comment.

I wonder how many iterations of “kinematic reproduction” would result in sentience.

Artificial Intelligence has made a landmark achievement by creating robots that can reproduce. US scientists who created the first living robots claim they can now reproduce on their own. Scientists now claim the discovery is a new form of biological reproduction that was not known to science yet. Experts say the parent robot and its babies, called Xenobots, are entirely biological.

#Xenobots. #LivingRobots. #ArtificialIntelligence.

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Alethea AI and BeingAI are collaborating with the Binance NFT marketplace to introduce the AI game characters that are based on nonfungible tokens (NFTs).

Alethea AI creates smart avatars who use AI to hold conversations with people, and it has launched its own NFT collectible AI characters. NFTs use the transparency and security of the digital ledger of blockchain to authenticate unique digital items. The companies see this as the underlying AI infrastructure for iNTFs, or intelligent nonfungible tokens, on the path to the metaverse, the universe of virtual worlds that are all interconnected, like in novels such as Snow Crash and Ready Player One.

Being AI, meanwhile, is on a quest to create AI characters who can interact and talk in real time with users. Both companies are working with the NFT marketplace of Binance to launch intelligent IGO (Initial Game Offering), featuring a hundred intelligent NFTs characters.

Games have a long history of serving as a benchmark for progress in artificial intelligence. Recently, approaches using search and learning have shown strong performance across a set of perfect information games, and approaches using game-theoretic reasoning and learning have shown strong performance for specific imperfect information poker variants. We introduce, a general-purpose algorithm that unifies previous approaches, combining guided search, self-play… See more.

Games have a long history of serving as a benchmark for progress in.

Artificial intelligence. Recently, approaches using search and learning have.

Shown strong performance across a set of perfect information games, and.
approaches using game-theoretic reasoning and learning have shown strong.
performance for specific imperfect information poker variants. We introduce.
Player of Games, a general-purpose algorithm that unifies previous approaches.

Combining guided search, self-play learning, and game-theoretic reasoning.
Player of Games is the first algorithm to achieve strong empirical performance.

In large perfect and imperfect information games — an important step towards.

Truly general algorithms for arbitrary environments. We prove that Player of.
Games is sound, converging to perfect play as available computation time and.

Approximation capacity increases.

In recent years, computational tools based on reinforcement learning have achieved remarkable results in numerous tasks, including image classification and robotic object manipulation. Meanwhile, computer scientists have also been training reinforcement learning models to play specific human games and videogames.

To challenge research teams working on reinforcement learning techniques, the Neural Information Processing Systems (NeurIPS) annual conference introduced the MineRL competition, a contest in which different algorithms are tested on the same in Minecraft, the renowned computer game developed by Mojang Studios. More specifically, contestants are asked to create algorithms that will need to obtain a diamond from raw pixels in the Minecraft game.

The algorithms can only be trained for four days and on 8,000,000 samples created by the MineRL simulator, using a single GPU machine. In addition to the training dataset, participants are also provided with a large collection of human demonstrations (i.e., video frames in which the task is solved by human players).

“Alder Lake,” Intel’s family of 12th Generation processors, has arrived—and with it, a new CPU paradigm. Intel’s Core i9-12900K desktop CPU ($589) leads the pack of the company’s 12th Generation processors, and brings with it a whole host of upgrades and innovations to the desktops of now and tomorrow. These tick-ups include support for the new, high-speed DDR5 RAM standard, as well as an upgrade to PCI Express 5.0, on the first new motherboard platform to support the latest chips, the Intel Z690. Intel also worked closely with Microsoft to optimize the new CPUs for Windows 11, adding new scheduling features that intelligently load up the Core i9-12900K depending on which cores are being used where, and for what.

Alder Lake and the Core i9-12900K indeed impress, but our relationship with the CPU…is complicated. For all the outright wins we saw in our benchmarks (and there were many), the added cost of upgrading to yet another new motherboard platform won’t outweigh the win percentages for many shoppers. Intel’s older-yet-still-reliable “Comet Lake” Core i9-10900K kept itself in the race during several benchmarks, while the eight-core, rather cheaper AMD Ryzen 7 5800X ($449 list price, but currently snipe-discounted to $386 on Amazon and Newegg) proves itself a worthy contender on performance-versus-price in PC gaming.

The high cost of a new Z690 motherboard (the cheapest are just under $200, per our Z690 motherboard guide) and DDR5 adoption, along with Intel’s insistence on upgrading your system to Windows 11, are all front-facing considerations for anyone who’s considering 12th Generation Core as their next big desktop upgrade. That—and a not-insignificant problem in which our test platform, and several prebuilt Alder Lake PCs, could not launch certain popular games that use specific DRM—temper Alder Lake with a bit of wait-and-see caution. Our initial Alder Lake takeaway is “Intel’s on the upswing, with some caveats.” But read more about our findings below.