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Google reaches grim AI milestone, replicates playable version of Doom entirely by algorithm
Doom has been ported to dozens of devices, but it's never been playable quite like this. Google researchers have now generated an AI version of the retro first-person shooter classic entirely via neural network, based on ingested video clips of gameplay. It's a milestone, if a grim one, recorded
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This AI Model Can Simulate the PC Game Doom in Real-Time
I've been with PCMag since October 2017, covering a wide range of topics, including consumer electronics, cybersecurity, social media, networking, and gaming. Prior to working at PCMag, I was a foreign correspondent in Beijing for over five years, covering the tech scene in Asia. We've all seen
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Google's GameNGen: AI breaks new ground by simulating Doom without a game engine
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google researchers have reached a major milestone in artificial intelligence by creating a neural network that can generate real-time gameplay for the classic shooter Doom
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AI creates a playable version of the original Doom, generating each frame in real-time
Google's research scientists have published a paper on its new GameNGen technology, an AI game engine that generates each new frame in real-time based on player input. It kind of sounds like Frame Generation gone mad in that everything is generated by AI, including visual effects, enemy movement,
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AI makes Doom in its own game engine -- Google's GameNGen project uses Stable Diffusion to simulate gameplay
Google Research scientists have released their paper on GameNGen, an AI-based game engine that generates original Doom gameplay on a neural network. Using Stable Diffusion, scientists Dani Valevski, Yaniv Leviathan, Moab Arar, and Shlomi Fruchter designed GameNGen to process its previous frames and
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AI Is Hallucinating DOOM
Can it hallucinate DOOM? Google Research and Tel Aviv University have successfully simulated DOOM within a neural learning model named GameNGen. It's been a big year for the "Can It Run DOOM" scene. We got DOOM running on poop germs, for example, and a mad scientist taught a lab-grown rat brain to
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New AI model can hallucinate a game of 1993's Doom in real time
"Why write rules for software by hand when AI can just think every pixel for you?" On Tuesday, researchers from Google and Tel Aviv University unveiled GameNGen, a new AI model that can interactively simulate the classic 1993 first-person shooter game Doom in real time using AI image generation
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Google researchers have achieved a significant milestone in AI technology by creating a model that can simulate the classic game DOOM in real-time, without using a traditional game engine. This breakthrough demonstrates the potential of AI in game development and simulation.

In a groundbreaking development, Google researchers have created an AI model called GameNGen that can simulate the iconic first-person shooter game DOOM in real-time, without relying on a traditional game engine
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. This achievement marks a significant milestone in the field of artificial intelligence and its applications in game development.GameNGen utilizes a combination of advanced AI techniques, including large language models and image generation models like Stable Diffusion
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. The AI system generates each frame of the game in real-time, creating a playable version of DOOM that closely resembles the original game's graphics and gameplay3
.The AI model operates at a resolution of 128x128 pixels and can generate up to 30 frames per second
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. While this frame rate is lower than modern gaming standards, it represents a remarkable achievement for an AI-generated game simulation. The researchers trained the model using gameplay footage from the original DOOM, enabling it to learn and replicate the game's mechanics and visual style.This breakthrough has significant implications for the gaming industry. By demonstrating that AI can simulate complex games without traditional game engines, GameNGen opens up new possibilities for rapid prototyping, game design, and even entirely new forms of AI-driven game experiences
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Despite its impressive capabilities, GameNGen faces several challenges. The current version struggles with maintaining consistent textures and details across frames, sometimes resulting in visual glitches or inconsistencies
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. Additionally, the AI-generated version lacks some of the advanced features of the original game, such as saving progress or adjusting graphics settings.The success of GameNGen in simulating DOOM suggests that AI could potentially simulate other classic games or even create entirely new game experiences. As AI technology continues to advance, we may see more sophisticated game simulations and AI-assisted game development tools in the future
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. This breakthrough could lead to faster game prototyping, more dynamic game worlds, and new avenues for creativity in the gaming industry.Summarized by
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