The ImageBind model combines six types of information: text, audio, visual, movement, thermal, and depth data.
The new ImageBind model combines text, audio, visual, movement, thermal, and depth data. It’s only a research project but shows how future AI models could be able to generate multisensory content.Meta has announced a new open-source AI model that links together multiple streams of data, including text, audio, visual data, temperature, and movement readings.
The model is only a research project at this point, with no immediate consumer or practical applications, but it points to a future of generative AI systems that can create immersive, multisensory experiences and shows that Meta continues to share AI research at a time when rivals like OpenAI and Google have becomeThe core concept of the research is linking together multiple types of data into a single multidimensional index .
Meta says that its model, ImageBind, is the first to combine six types of data into a single embedding space. The six types of data included in the model are: visual ; thermal ; text; audio; depth information; and — most intriguing of all — movement readings generated by an inertial measuring unit, or IMU.
Meta’s ImageBind model combines six types of data: audio, visual, text, depth, temperature, and movement.The idea is that future AI systems will be able to cross-reference this data in the same way that current AI systems do for text inputs. Imagine, for example, a futuristic virtual reality device that not only generates audio and visual input but also your environment and movement on a physical stage.
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