๐ŸŽฒ Weeknotes 2025 W45: Polymorphic
denisdefreyne.comยท20h
๐Ÿฆ€Rust
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AI Integration with Webflow: From Design to Dynamic Workflows
vibe.forem.comยท10hยท
Discuss: DEV
๐ŸŒWebAssembly
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What I learned building a language-learning app
chadnauseam.comยท18hยท
Discuss: Hacker News
๐Ÿฆ€Rust
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New study shows AI enhances teacher development
phys.orgยท16m
๐Ÿ”งEmbedded Systems
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New AI technique sounding out audio deepfakes
techxplore.comยท40m
๐Ÿ”Cryptography
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Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis
arxiv.orgยท10h
๐ŸŒWebAssembly
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Superintelligence probably not happening, but AI will still reshape society, expert panel says
theregister.comยท14h
๐Ÿ”งEmbedded Systems
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Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation inMixture-of-Expert models
dev.toยท1dยท
Discuss: DEV
๐Ÿ IndieWeb
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The Rise of AI-Powered Cybersecurity: How Machine Learning Is Changing the Game
dev.toยท10hยท
Discuss: DEV
๐Ÿ”’security
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CSGaze: Context-aware Social Gaze Prediction
arxiv.orgยท10h
๐Ÿ”งEmbedded Systems
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How AI Agents in Customer Services Are Transforming Businesses?
dev.toยท1dยท
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๐Ÿ”งEmbedded Systems
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Gravity-Awareness: Deep Learning Models and LLM Simulation of Human Awareness in Altered Gravity
arxiv.orgยท10h
๐Ÿ”งEmbedded Systems
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EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning
arxiv.orgยท10h
๐Ÿ”งEmbedded Systems
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BridgeVoC: Revitalizing Neural Vocoder from a Restoration Perspective
arxiv.orgยท10h
๐Ÿ”งEmbedded Systems
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Reinforcement Learning Improves Traversal of Hierarchical Knowledge in LLMs
arxiv.orgยท10h
๐Ÿ—„๏ธDatabases
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ACC takes a stand, vouching for Miami over Notre Dame in CFP rankings
nytimes.comยท12h
๐Ÿฆ€Rust
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DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token viaReinforcement Learning
paperium.netยท2dยท
Discuss: DEV
๐ŸŒWebAssembly
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Solar and wind power plant site selection in China: Machine learning-based regional and temporal probability
sciencedirect.comยท1h
๐Ÿ”งEmbedded Systems
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EncouRAGe: Evaluating RAG Local, Fast, and Reliable
arxiv.orgยท1d
๐ŸŒWebAssembly
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