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11 articles
Learn about Open Dreamer, an open-source AI system that predicts future events by learning how the world works, using advanced machine learning techniques.
Learn to build and train world model architectures using PyTorch, understanding the technology behind AMI Labs' approach to AI development.
Learn to build a simplified world model inspired by China's Orca system that predicts abstract world states without requiring labeled action data, demonstrating how unsupervised learning can reduce data requirements in robotics.
This explainer introduces LingBot-World-Infinity, an AI system that creates long-term interactive video worlds using advanced techniques to maintain accuracy over time.
Learn how to create a basic world model simulation that demonstrates core concepts from Nvidia's new physical AI technologies showcased at GTC Taipei.
Google DeepMind has integrated its Genie 3 world model with Street View imagery, enabling users to explore AI-generated, walkable environments based on real-world locations.
Google DeepMind's Project Genie now integrates Street View to create immersive, interactive world simulations for robotics, gaming, and travel applications.
Google DeepMind has integrated Street View imagery into its Project Genie world model, enabling users to explore AI-generated simulations of real-world locations. This advancement showcases the potential of generative world models in creating immersive, interactive digital environments.
NVIDIA introduces SANA-WM, a 2.6 billion-parameter open-source world model capable of generating 60-second 720p videos with precise camera control on a single GPU.
This article explains what world models are in AI, how they work, and why they matter — while clarifying that systems like Sora are not world models.
This article explains how Naver's Seoul World Model uses Street View data to create AI systems that can accurately represent urban environments, reducing the problem of AI hallucinations. Learn about world models, generative AI, and domain generalization.
