Confidence-Building Measures for Artificial Intelligence: Workshop proceedings
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Over the past several years, researchers have been developing soft analogues of traditionally rigid robotic components. In fluid-driven robotic systems, pumps control the pressure or flow of the liquid that powers the robot’s movement. Most pumps available today for soft robotics are either too large and rigid to fit onboard, not powerful enough for actuation…
We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of…
With the rise of AI-based technologies used to facilitate content production, individualized text generation has attracted considerable attention. To make generative systems that work for specific audiences, creation contexts, and information needs, they must be able to give a personalized response that takes extra contexts into account, like documents the user has already written. Researchers…
We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of…
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