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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes

Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes

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4 min read
5 Papers on My CVPR 2024 Must-See List!
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5 Papers on My CVPR 2024 Must-See List!

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5 min read
Stencil Computations on AMD and Nvidia Graphics Processors: Performance and Tuning Strategies

Stencil Computations on AMD and Nvidia Graphics Processors: Performance and Tuning Strategies

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4 min read
HyperFields: Towards Zero-Shot Generation of NeRFs from Text

HyperFields: Towards Zero-Shot Generation of NeRFs from Text

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4 min read
TextGrad: Automatic Differentiation via Text
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TextGrad: Automatic Differentiation via Text

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4 min read
Patch-wise Attention Enhances Fine-Grained Visual Recognition
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Patch-wise Attention Enhances Fine-Grained Visual Recognition

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5 min read
Can Language Models Use Forecasting Strategies?
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Can Language Models Use Forecasting Strategies?

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4 min read
Progress Towards Decoding Visual Imagery via fNIRS
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Progress Towards Decoding Visual Imagery via fNIRS

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4 min read
How I Built an In-Cabin Perception Dataset
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How I Built an In-Cabin Perception Dataset

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12 min read
Open Problems in DAOs

Open Problems in DAOs

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4 min read
Wk 2 Experiment Tracking: MLOPs with DataTalks
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Wk 2 Experiment Tracking: MLOPs with DataTalks

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6 min read
Ilya Sutskever's Vision: Safe Superintelligent AI
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Ilya Sutskever's Vision: Safe Superintelligent AI

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3 min read
Interval Score Matching: Enhancing Fidelity in Text-to-3D Models with LucidDreamer
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Interval Score Matching: Enhancing Fidelity in Text-to-3D Models with LucidDreamer

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4 min read
From Noise to Art: Building Your First Generative Adversarial Network

From Noise to Art: Building Your First Generative Adversarial Network

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5 min read
Lukas Höllein on the Challenges and Opportunities of Text-to-3D with “ViewDiff”
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Lukas Höllein on the Challenges and Opportunities of Text-to-3D with “ViewDiff”

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5 min read
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