【AI最新動向 2026年2月11日】論文5件・GitHub5件

2026年2月11日

📝 この記事のポイント

🚀 AI技術の最新動向 - 2026年2月11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bossnameless308wp/DeepSeek-V3-Windows-Local-Fixsaurav-yirifi/blueprint-ai-first-companyberrzebb/zeroquantobsTR/SherlockHappyHackingSpace/dit📌 関連記事もチェック📚 最新研究論文1. Biases in the Blind Spot: Detecting What LLMs Fail to Mention著者: Iván Arcuschin, David Chanin, Adrià Garriga-AlonsoLarge Language Models (LLMs) often provide chain-of-thought (CoT) reasoning traces that appear plausible, but may hide internal biases. We call these *unverbalized biases*. Monitoring models via their stated reasoning is therefore unreliable, and existing bias evaluations typically require predefine...論文を読む →2. Olaf-World: Orienting Latent Actions for Video World Modeling著者: Yuxin Jiang, Yuchao Gu, Ivor W. TsangScaling action-controllable world models is limited by the scarcity of action labels. While latent action learning promises to extract control interfaces from unlabeled video, learned latents often fail to transfer across contexts: they entangle scene-specific cues and lack a shared coordinate syste...論文を読む →3. Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy著者: Júlio Oliveira, Rodrigo Ferreira, André RikerData privacy and eXplainable Artificial Intelligence (XAI) are two important aspects for modern Machine Learning systems. To enhance data privacy, recent machine learning models have been designed as a Federated Learning (FL) system. On top of that, additional privacy layers can be added, via Differ...論文を読む →💻 注目のGitHubプロジェクト1. bossnameless308wp/DeepSeek-V3-Windows-Local-FixDeepSeek-V3 Windows Deployment Fixer: Resolves CUDA_ERROR_OUT_OF_MEMORY, missing cublas64_12.dll, and Triton compiler errors. Optimized for RTX 30/40 series GPUs.⭐ 15 stars | 🔀 0 forksリポジトリを見る →2. saurav-yirifi/blueprint-ai-first-companyFree 81K-word book on building AI-first companies. 12 chapters, 775 citations, 20 frameworks, 14 Python code examples. Agent architecture, microsite patterns, data flywheels, team models, and governance. CC BY-NC-SA 4.0.⭐ 10 stars | 🔀 0 forksリポジトリを見る →3. berrzebb/zeroquantRust 기반 고성능 자동화 트레이딩 시스템⭐ 10 stars | 🔀 7 forksリポジトリを見る →4. obsTR/SherlockMulti modal deepfake detection system using FastAPI, PyTorch, and a Cloudflare Workers edge gateway, with a Next.js dashboard.⭐ 9 stars | 🔀 0 forksリポジトリを見る →5. HappyHackingSpace/ditHTML page, form and field type classifier using ML (LogReg + CRF)⭐ 9 stars | 🔀 3 forksリポジトリを見る →。

🚀 AI技術の最新動向 – 2026年2月11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. bossnameless308wp/DeepSeek-V3-Windows-Local-Fix
2. saurav-yirifi/blueprint-ai-first-company
3. berrzebb/zeroquant
4. obsTR/Sherlock
5. HappyHackingSpace/dit
📌 関連記事もチェック

📚 最新研究論文

1. Biases in the Blind Spot: Detecting What LLMs Fail to Mention

著者: Iván Arcuschin, David Chanin, Adrià Garriga-Alonso

Large Language Models (LLMs) often provide chain-of-thought (CoT) reasoning traces that appear plausible, but may hide internal biases. We call these *unverbalized biases*. Monitoring models via their stated reasoning is therefore unreliable, and existing bias evaluations typically require predefine…

論文を読む →

2. Olaf-World: Orienting Latent Actions for Video World Modeling

著者: Yuxin Jiang, Yuchao Gu, Ivor W. Tsang

Scaling action-controllable world models is limited by the scarcity of action labels. While latent action learning promises to extract control interfaces from unlabeled video, learned latents often fail to transfer across contexts: they entangle scene-specific cues and lack a shared coordinate syste…

論文を読む →

3. Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy

著者: Júlio Oliveira, Rodrigo Ferreira, André Riker

Data privacy and eXplainable Artificial Intelligence (XAI) are two important aspects for modern Machine Learning systems. To enhance data privacy, recent machine learning models have been designed as a Federated Learning (FL) system. On top of that, additional privacy layers can be added, via Differ…

論文を読む →

💻 注目のGitHubプロジェクト

1. bossnameless308wp/DeepSeek-V3-Windows-Local-Fix

DeepSeek-V3 Windows Deployment Fixer: Resolves CUDA_ERROR_OUT_OF_MEMORY, missing cublas64_12.dll, and Triton compiler errors. Optimized for RTX 30/40 series GPUs.

⭐ 15 stars | 🔀 0 forks

リポジトリを見る →

2. saurav-yirifi/blueprint-ai-first-company

Free 81K-word book on building AI-first companies. 12 chapters, 775 citations, 20 frameworks, 14 Python code examples. Agent architecture, microsite patterns, data flywheels, team models, and governance. CC BY-NC-SA 4.0.

⭐ 10 stars | 🔀 0 forks

リポジトリを見る →