03 / ARTICLE LEDGER

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  1. SCRAPL: Scattering Transform with Random Paths for Machine Learning 2026-02-12 · ARXIV
  2. Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-Tuning 2026-02-12 · ARXIV
  3. Build long-running MCP servers on Amazon Bedrock AgentCore with Strands Agents integration | Amazon Web Services 2026-02-12 · BLOGS_PODCASTS
  4. Accelerating science with AI and simulations 2026-02-12 · BLOGS_PODCASTS
  5. Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy 2026-02-11 · ARXIV
  6. NVIDIA Nemotron 3 Nano 30B MoE model is now available in Amazon SageMaker JumpStart | Amazon Web Services 2026-02-11 · BLOGS_PODCASTS
  7. CoFEH: LLM-driven Feature Engineering Empowered by Collaborative Bayesian Hyperparameter Optimization 2026-02-11 · ARXIV
  8. Scale LLM fine-tuning with Hugging Face and Amazon SageMaker AI | Amazon Web Services 2026-02-10 · BLOGS_PODCASTS
  9. AP-OOD: Attention Pooling for Out-of-Distribution Detection 2026-02-06 · ARXIV
  10. Exact Recovery in the Data Block Model 2026-02-06 · ARXIV
  11. d2l-ai/d2l-zh 2026-02-05 · GITHUB_TRENDING
  12. GPT-5 lowers the cost of cell-free protein synthesis 2026-02-05 · BLOGS_PODCASTS
  13. Scalable Random Wavelet Features: Efficient Non-Stationary Kernel Approximation with Convergence Guarantees 2026-02-03 · ARXIV
  14. #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast 2026-02-01 · BLOGS_PODCASTS
  15. C3Box: A CLIP-based Class-Incremental Learning Toolbox 2026-01-29 · ARXIV
  16. Latent Diffusion for Internet of Things Attack Data Generation in Intrusion Detection 2026-01-26 · ARXIV
  17. Counterfactual Training: Teaching Models Plausible and Actionable Explanations 2026-01-25 · ARXIV
  18. Beyond Predictive Uncertainty: Reliable Representation Learning with Structural Constraints 2026-01-25 · ARXIV