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RB-Modulation

October 11, 2024

New IFML Framework for Diffusion Models to be included in several production pipelines by teams in Google

Latent representation spaces have been powerful in enabling computationally efficient methods for image generation.

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News

  • New Partnership Will Scale Up Investment in Ethical AI Research and Innovation

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  • An Algorithm for EMS Response

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  • IFML Public Lecture: AI for Accurate and Fair Imaging

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  • Researchers Develop New Method to Predict and Optimize Performance of Deep Learning Models

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  • ‘Off Label’ Use of Imaging Databases Could Lead to Bias in AI Algorithms

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  • Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning

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  • Adam Klivans and Alex Dimakis on KXAN News!

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  • Alex Dimakis to Serve on AI Commission of the US Chamber of Commerce

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  • UT Austin Researchers Demonstrate a Deep Learning Technique That Achieves High-Quality Image Reconstructions Based on MRI Datasets

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  • IFML Member Peter Stone on the Cover of NATURE!

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  • UT Austin No. 1 in NSF Funding in United States

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  • How New Machine Learning Techniques Could Improve MRI Scans

    Jon Tamir's Research Highlighted on Amazon Science

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