Who has the best theories describing the algorithms / data structures implemented by the hippocampal system and / or cortical columns?
MACHINE LEARNING
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AI and Digital Biology Convergence with Daphne Koller
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There's no one better to discuss the convergence of #AI and digital biology than @DaphneKoller Our conversation on the new Ground Truths podcast
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Diffusion Models as ELBO with Data Augmentation Analysis
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Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation Diederik P. Kingma, Ruiqi Gao : https://
arxiv.org/abs/2303.00848 #ArtificialIntelligence #DeepLearning #MachineLearning -
Diffusion Objectives as ELBO with Data Augmentation
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Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation Diederik P. Kingma, Ruiqi Gao : https://
arxiv.org/abs/2303.00848 #ArtificialIntelligence #DeepLearning #MachineLearning -
3D Retinal Images: AI Applications in Medical Imaging
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What Are 3D Retinal Images, And What Good Are They? https://
forbes.com/sites/williamh
aseltine/2024/02/11/what-are-3d-retinal-images-and-what-good-are-they/?utm_source=dlvr.it&utm_medium=twitter
… #Innovation #ArtificialIntelligence #MachineLearning -
TripoSR: Fast 3D Mesh Generation from Single Images
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10/ TripoSR
— DAIR.AI (@dair_ai) 10 mars 2024
A transformer-based 3D reconstruction model for fast feed-forward 3D generation; it can produce 3D mesh from a single image in under 0.5 seconds; improvement includes better data processing, model design, and training.https://t.co/5VL6kdC12410/ TripoSR A transformer-based 3D reconstruction model for fast feed-forward 3D generation; it can produce 3D mesh from a single image in under 0.5 seconds; improvement includes better data processing, model design, and training.
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RAG for AI-Generated Content: Overview and Enhancements
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5/ RAG for AI-Generated Content Provides an overview of RAG used in different generation scenarios like code, image, and audio, including a taxonomy of RAG enhancements with reference to key papers.
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Top ML Papers of the Week: Claude 3, KnowAgent, Design2Code
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The Top ML Papers of the Week (March 4 – March 10): • Claude 3
• KnowAgent
• LLM for Law
• Design2Code
• RAG Enhancements Overview
• Robust Evaluation of Reasoning
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MajorTOM: ESA releases largest ML-ready Sentinel-2 dataset
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We're excited to collaborate with the Europan Space Agency for the release of MajorTOM, the largest ML-ready Sentinel-2 images dataset! It covers 50% of the Earth. 2.5 trillion pixels of open source! https://
huggingface.co/Major-TOM -
Scaling AI in Healthcare: Insights from Stanford Biomedical Research
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Interested in the intersection of AI and biomedicine? Snorkel AI's Braden Hancock sat down with Jason Fries, a research scientist at Stanford's Biomedical Informatics Research lab to discuss the challenges of scaling AI in healthcare. Watch here: