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Parameter-Efficient Conditioning for Material Generalization in Graph-Based Simulators
arxiv.orgΒ·1h
πŸ€–Machine Learning
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Revolutionizing Continuous Learning with Nested Neural Networks
dev.toΒ·2dΒ·
Discuss: DEV
πŸ€–Machine Learning
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From Dataset to DataFrame to Deployed: Your First Project with Pandas & Scikit-learn
kdnuggets.comΒ·2d
πŸ€–Machine Learning
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r/SillyTavernAI
reddit.comΒ·20hΒ·
🧩Neurodiverse
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Benchmark for Agent Context Engineering (2025)
tarasyarema.comΒ·17hΒ·
Discuss: Hacker News
πŸ€–Machine Learning
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AgentExpt: Automating AI Experiment Design with LLM-based Resource Retrieval Agent
arxiv.orgΒ·1h
πŸ€–Machine Learning
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SurgiATM: A Physics-Guided Plug-and-Play Model for Deep Learning-Based Smoke Removal in Laparoscopic Surgery
arxiv.orgΒ·1h
🧩Neurodiverse
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SPECTRA: Spectral Target-Aware Graph Augmentation for Imbalanced Molecular Property Regression
arxiv.orgΒ·1h
🧩Neurodiverse
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Physics as Code: Train AI with Differentiable Simulations
dev.toΒ·3hΒ·
Discuss: DEV
πŸ€–Machine Learning
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As we delve into the realm of quantum machine learning (QML)
dev.toΒ·11hΒ·
Discuss: DEV
πŸ€–Machine Learning
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ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
arxiv.orgΒ·1h
πŸ€–Machine Learning
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Forget the Math: A Beginner’s Guide to How Attention Powers GPT and Transformers
pub.towardsai.netΒ·1d
🧩Neurodiverse
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Detecting Logo Similarity: Combining AI Embeddings with Fourier Descriptors
dev.toΒ·13hΒ·
Discuss: DEV
πŸ€–Machine Learning
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AI Isn't Alchemy: Not Mystical, Just Messy
craftedlogiclab.comΒ·13hΒ·
Discuss: Hacker News
🧩Neurodiverse
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EncouRAGe: Evaluating RAG Local, Fast, and Reliable
arxiv.orgΒ·1h
πŸ€–Machine Learning
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Predictive Modeling of Dendritic Cell Maturation via Multimodal Integration
dev.toΒ·5hΒ·
Discuss: DEV
πŸ€–Machine Learning
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AI's Cost: Human Displacement and Environmental Destruction
dev.toΒ·10hΒ·
Discuss: DEV
πŸ€–Machine Learning
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How Rust Transforms Error Handling: From Crashes to Reliable Software Systems
dev.toΒ·10hΒ·
Discuss: DEV
πŸ¦€Rust
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OvA-LP: A Simple and Efficient Framework for Federated Learning on Non-IID Data
arxiv.orgΒ·1h
πŸ€–Machine Learning
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