Wrong. What do you think AI people are doing? Building systems for the next wave. Everything comes down to datacenters. The headsets will fill many.
AI
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Transformers in Diffusion Models for Image Processing Since 2022
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Plus, since ~2022, Diffusion models also use transformers for the image processing. E.g.,
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Text-to-Image Diffusion Models Use Transformers
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Fun fact: common text-to-image Diffusion models actually use Transformers
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Improving reflective pose in diffusion models
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Increasing the accuracy of reflective pose in diffusion models and estimating radiance fields. Also to see what kind of phone people have when they take a selfie.
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AI reconstructs 3D scenes from eye reflections
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AI reconstructs 3D scenes from reflections in the human eye
— AI Breakfast (@AiBreakfast) 16 juin 2023
From the paper: Seeing the World through Your Eyes
"Using this insight, we train the radiance field on the eye reflections by shooting rays from the camera, and reflecting them off the approximated eye geometry. To… pic.twitter.com/qp4ao3imkzAI reconstructs 3D scenes from reflections in the human eye From the paper: Seeing the World through Your Eyes "Using this insight, we train the radiance field on the eye reflections by shooting rays from the camera, and reflecting them off the approximated eye geometry. To
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Reinforcement Learning Foundations for Autonomous Flight Control Systems
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Congratulations @SahinLale He has laid theoretical foundations in #AI for autonomous systems by designing efficient reinforcement learning methods and applying them to challenging scenarios like flight control in turbulent conditions https://
thesis.library.caltech.edu/15219/ #Caltech2023 -
Physics-Informed Neural Networks for Molecular Modeling and Design
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Congratulations @ZhuoranQ He has done trailblazing work on Physics-Informed Neural Approaches for Multiscale Molecular Modeling and Design #AI + #Chemistry with me and @tfmiller3 https://
thesis.library.caltech.edu/15077/ #Caltech2023 -
Physics-Informed Neural Networks for Molecular Modeling and Design
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Congratulations @ZhuoranQ He has done trailblazing work on Physics-Informed Neural Approaches for Multiscale Molecular Modeling and Design #AI + #Chemistry with me and @tfmiller3 https://
thesis.library.caltech.edu/15077/ #Caltech2023 -
Defining Highly Capable AI Systems and Model Scaling
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What does highly capable even mean Plus, one can get highly capable systems at smaller sizes too
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Caltech Students Graduate with Groundbreaking AI Chemistry and Autonomy Research
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Congratulations @SahinLale @ZhuoranQ @Caltech #Caltech2023 Nothing brings me more joy as an advisor than to see my students graduate with flying colors! They both did ground-breaking interdisciplinary work in #AI + #Chemistry and #AI + #Autonomy