@DeepMind AI redefines data sorting! With algorithms developed by AlphaZero, this AI system translated into C++ can sort data up to 3x faster than human-generated versions. Discover the forefront of software development by DeepMind: https://
bit.ly/3qHcJ0t
MACHINE LEARNING
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DeepMind AlphaZero Algorithms Sort Data 3x Faster
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Enthoven vs ChatGPT, AI Act, Macron, LeCun, Musk
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LIVE
Big AI program today:
– Enthoven vs ChatGPT in philosophy, is he happy?
– The AI Act is here, we debrief together what's inside it
– Replay of @EmmanuelMacron and @ylecun on AI at Vivatech At 4pm I will relaunch for a live React to Elon Musk's intervention -
Machine Learning Features vs Bugs: A Data Science Perspective
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It's not a bug, it's a feature… no wait, it's just the machine learning. #datascience #thoughtfortheday #AI
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NAVI: High-Quality 3D Shape and Pose Annotations for Images
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NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations paper page: https://
huggingface.co/papers/2306.09
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… Recent advances in neural reconstruction enable high-quality 3D object reconstruction from casually captured image collections. Current techniques -
Agile Catching with Whole-Body MPC and Blackbox Policy Learning
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Agile Catching with Whole-Body MPC and Blackbox Policy Learning
— AK (@_akhaliq) 16 juin 2023
paper page: https://t.co/A8ZuUrvwnP
address a benchmark task in agile robotics: catching objects thrown at high-speed. This is a challenging task that involves tracking, intercepting, and cradling a thrown object… pic.twitter.com/mKCyUxOIGLAgile Catching with Whole-Body MPC and Blackbox Policy Learning paper page: https://
huggingface.co/papers/2306.08
205
… address a benchmark task in agile robotics: catching objects thrown at high-speed. This is a challenging task that involves tracking, intercepting, and cradling a thrown object -
Neural Relighting with Subsurface Scattering via Radiance Transfer
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Neural Relighting with Subsurface Scattering by Learning the Radiance Transfer Gradient paper page: https://
huggingface.co/papers/2306.09
322
… Reconstructing and relighting objects and scenes under varying lighting conditions is challenging: existing neural rendering methods often cannot handle -
Diffusion Models for Zero-Shot Open-Vocabulary Segmentation
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Diffusion Models for Zero-Shot Open-Vocabulary Segmentation
— AK (@_akhaliq) 16 juin 2023
paper page: https://t.co/JP6BymlyTs
The variety of objects in the real world is nearly unlimited and is thus impossible to capture using models trained on a fixed set of categories. As a result, in recent years,… pic.twitter.com/BVI1gSpjRnDiffusion Models for Zero-Shot Open-Vocabulary Segmentation paper page: https://
huggingface.co/papers/2306.09
316
… The variety of objects in the real world is nearly unlimited and is thus impossible to capture using models trained on a fixed set of categories. As a result, in recent years, -
TryOnDiffusion: Virtual Garment Try-On Using Dual UNet Architecture
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TryOnDiffusion: A Tale of Two UNets
— AK (@_akhaliq) 16 juin 2023
paper page: https://t.co/SuDRe7rqQD
Given two images depicting a person and a garment worn by another person, our goal is to generate a visualization of how the garment might look on the input person. A key challenge is to synthesize a… pic.twitter.com/qcIXtUbqyLTryOnDiffusion: A Tale of Two UNets paper page: https://
huggingface.co/papers/2306.08
276
… Given two images depicting a person and a garment worn by another person, our goal is to generate a visualization of how the garment might look on the input person. A key challenge is to synthesize a -
DORSal: Diffusion for Object-centric Scene Representations
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DORSal: Diffusion for Object-centric Representations of Scenes et al. paper page: https://
huggingface.co/papers/2306.08
068
… Recent progress in 3D scene understanding enables scalable learning of representations across large datasets of diverse scenes. As a consequence, generalization to unseen -
Anticipatory Music Transformer: Controllable Generative Model for Temporal Point Processes
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Anticipatory Music Transformer paper page: https://
huggingface.co/papers/2306.08
620
… introduce anticipation: a method for constructing a controllable generative model of a temporal point process (the event process) conditioned asynchronously on realizations of a second, correlated process (the