MIT: Combining Next-Token Prediction and Video Diffusion in Computer Vision and Robotics
October 16, 2024
October 16, 2024
CAMBRIDGE, Massachusetts, Oct. 16 (TNSres) -- The Massachusetts Institute of Technology issued the following news:
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A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.
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By Alex Shipps, MIT CSAIL
In the current AI zeitgeist, sequence models have skyrocketed in popul . . .
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A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.
* * *
By Alex Shipps, MIT CSAIL
In the current AI zeitgeist, sequence models have skyrocketed in popul . . .