20260518-morning:新增内容

log.md

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+## 2026-05-15 — ingest | Continuous Thought Machines (arXiv:2505.05522, NeurIPS 2025)
+- 添加论文 [[darlow-ctm-2025]]: "Continuous Thought Machines" — 以神经同步为表示的新型架构，NLMs + Neural Synchronization 两大创新
+- 新增 11 个概念页: [[continuous-thought-machine]], [[neuron-level-models]], [[neural-synchronization]], [[internal-ticks]], [[synapse-model]], [[certainty-based-loss]], [[adaptive-computation-time]], [[internal-world-model]], [[neuron-pairing]], [[temporal-decay-neural]], [[pre-activation-history]]
+- 核心创新: 每个神经元私有 NLM 替代统一激活函数 + 激活历史内积作为同步表示
+- 实验亮点: 迷宫泛化(39×39→99×99)、ImageNet 原生自适应计算、Parity 可解释策略
+- 作者含 Llion Jones (Attention Is All You Need 合著者), 机构: Sakana AI
+- 来源: https://arxiv.org/abs/2505.05522
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+## 2026-05-15 — ingest | NeurIDA (arXiv:2512.08483v3, cs.DB 2025)
+- 添加论文 [[zeng-neurida-2025]]: "NeurIDA: Dynamic Modeling for Effective In-Database Analytics" — 端到端自主库内分析系统，通过动态装配定制模型解决 ML 静态性与 RDBMS 动态性的范式鸿沟
+- 新增 15 个概念页: [[neurida]], [[dynamic-in-database-modeling]], [[dime-dynamic-in-database-modeling-engine]], [[composable-base-model-architecture]], [[query-intent-analyzer]], [[conditional-model-dispatcher]], [[zero-cost-proxies]], [[dynamic-relation-modeling]], [[dynamic-model-fusion]], [[data-slice]], [[base-table-embedding]], [[in-database-analytics]], [[relational-graph]], [[analytical-report-synthesizer]], [[tabular-foundation-models]]
+- 核心创新: DIME 四阶段管线（表嵌入→关系建模→上下文融合→预测），从共享组件在查询时动态装配定制模型
+- 实验: 5 数据集 10 任务，AUC-ROC ↑12%, MAE ↓25%, 延迟开销仅 1.1×–2.1×
+- 来源: https://arxiv.org/abs/2512.08483v3
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 ## 2026-05-12 — ingest | TBA (arXiv:2503.18929, NeurIPS 2025)
 - 添加论文 [[bartoldson-tba-2025]]: "Trajectory Balance with Asynchrony" — GFlowNet TB 目标 × 异步分布式 RL
 - 新增 8 个概念页: [[tba]], [[trajectory-balance-objective]], [[asynchronous-rl-llm]], [[off-policy-llm-post-training]], [[gflownet-fine-tuning]], [[replay-buffer-rl-llm]], [[searcher-trainer-decoupling]], [[reward-recency-sampling]]