Cookie Consent by Free Privacy Policy Generator ๐Ÿ“Œ Why Deep Learning is Always Done on Array Data? New AI Research Introduces โ€˜Spatial Functa,โ€™ Where From Data to Functa is Treaded Like One

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๐Ÿ“š Why Deep Learning is Always Done on Array Data? New AI Research Introduces โ€˜Spatial Functa,โ€™ Where From Data to Functa is Treaded Like One


๐Ÿ’ก Newskategorie: AI Nachrichten
๐Ÿ”— Quelle: marktechpost.com

Implicit neural representations (INRs) or neural fields are coordinate-based neural networks representing a field, such as a 3D scene, by mapping 3D coordinates to color and density values in 3D space. Recently, neural fields have gained a lot of traction in computer vision as a means of representing signals like pictures, 3D shapes/scenes, movies, music, [โ€ฆ]

The post Why Deep Learning is Always Done on Array Data? New AI Research Introduces โ€˜Spatial Functa,โ€™ Where From Data to Functa is Treaded Like One appeared first on MarkTechPost.

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