Philosopher: AI is not a tool, but an instrument of power
heise.de·16h
🤖AI
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Ultra-flat optic pushes beyond what was previously thought possible
ece.uw.edu·11h·
Discuss: Hacker News
🔬Deep Learning
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Carmack on inlined code and functional programming
cbarrete.com·22h·
Discuss: Hacker News
🦀Rust
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🏚️ CSS Art: Haunted House with Parallax Layers
codepen.io·6d·
Discuss: DEV
🦀Rust
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The shortest path from thought to action
medium.com·1d
🤖AI
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🚪 Exit the Tutorial Hell: From Imitation to Imagination
dev.to·2d·
Discuss: DEV
🤖AI
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Three-dimensional spinless Euler insulators with rotational symmetry
journals.aps.org·10h
🦀Rust
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From One Photo to a Living Story: A Field Guide for Makers, Journalists, and Curious Humans
dev.to·1d·
Discuss: DEV
🔬Deep Learning
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Looking for contributors to help build an open-source Screen Recorder app (Electron + Vite + TypeScript + TailwindCSS)
github.com·1d·
Discuss: r/opensource
🤖AI
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The future of using different languages with godot?
github.com·6h·
Discuss: r/godot
🤖AI
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Hoyoverse teases an open world MMO with a realistic fantasy aesthetic and hints of procgen AI tools - MassivelyOP
news.google.com·21h
🔬Deep Learning
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NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks
dev.to·2d·
Discuss: DEV
🤖AI
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Automatic segmentation of colorectal liver metastases for ultrasound-based navigated resection
arxiv.org·1d
🔬Deep Learning
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EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
arxiv.org·7h
🤖AI
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Steering LLMs toward Korean Local Speech: Iterative Refinement Framework for Faithful Dialect Translation
arxiv.org·7h
🤖AI
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A Second-Order Attention Mechanism For Prostate Cancer Segmentation and Detection in Bi-Parametric MRI
arxiv.org·7h
🔬Deep Learning
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Parallelization
dev.to·21h·
Discuss: DEV
🤖AI
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Selective Diabetic Retinopathy Screening with Accuracy-Weighted Deep Ensembles and Entropy-Guided Abstention
arxiv.org·7h
🔬Deep Learning
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Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramid
arxiv.org·1d
🤖AI
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From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusio...
arxiv.org·7h
🔬Deep Learning
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