Edge 262: NVIDIA’s Get3D is a Generative AI Model for 3D Shapes
Was this email forwarded to you? Sign up here Edge 262: NVIDIA’s Get3D is a Generative AI Model for 3D ShapesThe model is actively used in NVIDIA's Omniverse platform.3D is steadily becoming one of the next frontiers for generative AI. While the applications for machine generated 3D objects are applicable across many domains, gaming and metaverse have been some of the most important early adopters. NVIDIA Omniverse has been one of the platforms adapting many of these generative AI techniques for metaverse applications. At CES 2023, NVIDIA unveiled the incorporation of many generative AI extensions for its Omniverse platform. At the center of this announcement, there was a model that NVIDIA research unveiled late last year. Get3D is a generative AI model able to produce 3D shapes with high-fidelity textures and complex geometries... Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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Edge 259: Local Model-Agnostic Interpretability Methods: SHAP
Tuesday, January 10, 2023
SHAP method, MIT taxonomy for ML interpretability and BAIR's iModels framework.
NVIDIA Latest Push in Generative AI the Metaverse
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Sundays, The Sequence Scope brings a summary of the most important research papers, technology releases and VC funding deals in the artificial intelligence space.
Edge 258: Inside OpenAI's Point-E: The New Foundation Model Able to Generate 3D Representations from Language
Thursday, January 5, 2023
The new model combines GLIDE with image-to-3D generation models is a very clever and efficient architecture.
Edge 257: Local Model-Agnostic Interpretability Methods
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Local model-agnostic interpretability, IBMs ProfWeight research and the InterpretML framework.
2023: The Year The Value Shifted from Infrastructure to Applications
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Sundays, The Sequence Scope brings a summary of the most important research papers, technology releases and VC funding deals in the artificial intelligence space.
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