【AI最新動向 2026年2月19日】論文5件・GitHub5件

2026年2月19日

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🚀 AI技術の最新動向 - 2026年2月19日世界中から収集したAI・機械学習の最新情報をお届けします 📑 目次💻 注目のGitHubプロジェクトvixhal-baraiya/microgpt-cQwertyMcQwertz/monkeys-with-typewritersWB2024/Essentia-to-Metadatabenoitc/erlang-pythongreynewell/evaldriven.org📌 関連記事もチェック📚 最新研究論文1. Knowledge-Embedded Latent Projection for Robust Representation Learning著者: Weijing Tang, Ming Yuan, Zongqi XiaLatent space models are widely used for analyzing high-dimensional discrete data matrices, such as patient-feature matrices in electronic health records (EHRs), by capturing complex dependence structures through low-dimensional embeddings. However, estimation becomes challenging in the imbalanced re...論文を読む →2. Policy Compiler for Secure Agentic Systems著者: Nils Palumbo, Sarthak Choudhary, Jihye ChoiLLM-based agents are increasingly being deployed in contexts requiring complex authorization policies: customer service protocols, approval workflows, data access restrictions, and regulatory compliance. Embedding these policies in prompts provides no enforcement guarantees. We present PCAS, a Polic...論文を読む →3. Measuring Mid-2025 LLM-Assistance on Novice Performance in Biology著者: Shen Zhou Hong, Alex Kleinman, Alyssa MathiowetzLarge language models (LLMs) perform strongly on biological benchmarks, raising concerns that they may help novice actors acquire dual-use laboratory skills. Yet, whether this translates to improved human performance in the physical laboratory remains unclear. To address this, we conducted a pre-reg...論文を読む →💻 注目のGitHubプロジェクト1. vixhal-baraiya/microgpt-cThe most atomic way to train and inference a GPT in pure, dependency-free C⭐ 181 stars | 🔀 34 forksリポジトリを見る →2. QwertyMcQwertz/monkeys-with-typewritersThe complete AI platform on a $3 microcontroller. Sub-millisecond inference. Zero hallucinations.⭐ 32 stars | 🔀 3 forksリポジトリを見る →3. WB2024/Essentia-to-MetadataIntelligent audio analysis and automatic genre/mood tagging using Essentia ML models⭐ 21 stars | 🔀 2 forksリポジトリを見る →4. benoitc/erlang-pythonExecute Python from Erlang using dirty NIFs with GIL-aware execution, rate limiting, and free-threading support⭐ 16 stars | 🔀 2 forksリポジトリを見る →5. greynewell/evaldriven.orgShip evals before you ship features.⭐ 12 stars | 🔀 4 forksリポジトリを見る →。

🚀 AI技術の最新動向 – 2026年2月19日

世界中から収集したAI・機械学習の最新情報をお届けします

📑 目次

💻 注目のGitHubプロジェクト
1. vixhal-baraiya/microgpt-c
2. QwertyMcQwertz/monkeys-with-typewriters
3. WB2024/Essentia-to-Metadata
4. benoitc/erlang-python
5. greynewell/evaldriven.org
📌 関連記事もチェック

📚 最新研究論文

1. Knowledge-Embedded Latent Projection for Robust Representation Learning

著者: Weijing Tang, Ming Yuan, Zongqi Xia

Latent space models are widely used for analyzing high-dimensional discrete data matrices, such as patient-feature matrices in electronic health records (EHRs), by capturing complex dependence structures through low-dimensional embeddings. However, estimation becomes challenging in the imbalanced re…

論文を読む →

2. Policy Compiler for Secure Agentic Systems

著者: Nils Palumbo, Sarthak Choudhary, Jihye Choi

LLM-based agents are increasingly being deployed in contexts requiring complex authorization policies: customer service protocols, approval workflows, data access restrictions, and regulatory compliance. Embedding these policies in prompts provides no enforcement guarantees. We present PCAS, a Polic…

論文を読む →

3. Measuring Mid-2025 LLM-Assistance on Novice Performance in Biology

著者: Shen Zhou Hong, Alex Kleinman, Alyssa Mathiowetz

Large language models (LLMs) perform strongly on biological benchmarks, raising concerns that they may help novice actors acquire dual-use laboratory skills. Yet, whether this translates to improved human performance in the physical laboratory remains unclear. To address this, we conducted a pre-reg…

論文を読む →