【AI最新動向 2026年2月10日】論文5件・GitHub5件

2026年2月10日2026年3月27日

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🚀 AI技術の最新動向 – 2026年2月10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-Fix botanu-ai/botanu-sdk-python berrzebb/zeroquant HappyHackingSpace/dit obsTR/Sherlock 📌 関連記事もチェック 📚 最新研究論文 1. Robustness Is a Function, Not a Number: A Factorized Comprehensive Study of OOD Robustness in Vision-Based Driving 著者: Amir Mallak, Alaa Maalouf Out of distribution (OOD) robustness in autonomous driving is often reduced to a single number, hiding what breaks a policy. We decompose environments along five axes: scene (rural/urban), season, weather, time (day/night), and agent mix; and measure performance under controlled $k$-factor perturbat… 論文を読む → 2. Contact-Anchored Policies: Contact Conditioning Creates Strong Robot Utility Models 著者: Zichen Jeff Cui, Omar Rayyan, Haritheja Etukuru The prevalent paradigm in robot learning attempts to generalize across environments, embodiments, and tasks with language prompts at runtime. A fundamental tension limits this approach: language is often too abstract to guide the concrete physical understanding required for robust manipulation. In t… 論文を読む → 3. CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection 著者: Fatemeh Nejati, Mahdi Rabbani, Mansur Mirani Phishing attacks represents one of the primary attack methods which is used by cyber attackers. In many cases, attackers use deceptive emails along with malicious attachments to trick users into giving away sensitive information or installing malware while compromising entire systems. The flexibilit… 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. ⭐ 19 stars | 🔀 0 forks リポジトリを見る → 2. botanu-ai/botanu-sdk-python OpenTelemetry-native run-level cost attribution SDK for AI workflows ⭐ 10 stars | 🔀 1 forks リポジトリを見る → 3. berrzebb/zeroquant Rust 기반 고성능 자동화 트레이딩 시스템 ⭐ 10 stars | 🔀 7 forks リポジトリを見る → 4. HappyHackingSpace/dit HTML page, form and field type classifier using ML (LogReg + CRF) ⭐ 8 stars | 🔀 3 forks リポジトリを見る → 5. obsTR/Sherlock Multi modal deepfake detection system using FastAPI, PyTorch, and a Cloudflare Workers edge gateway, with a Next.js dashboard. ⭐ 7 stars | 🔀 0 forks リポジトリを見る → 📚 あわせて読みたい「プロンプトは戦略だ！」と学んで劇的効率UP！私のAI活用術私が実感！AIで物流の悩み解消、時間もコストも浮いた話 AI三つ巴！Geminiと私が出会って、ストーリー作りは変わった？。

🚀 AI技術の最新動向 – 2026年2月10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. botanu-ai/botanu-sdk-python
3. berrzebb/zeroquant
4. HappyHackingSpace/dit
5. obsTR/Sherlock
📌 関連記事もチェック

📚 最新研究論文

1. Robustness Is a Function, Not a Number: A Factorized Comprehensive Study of OOD Robustness in Vision-Based Driving

著者: Amir Mallak, Alaa Maalouf

Out of distribution (OOD) robustness in autonomous driving is often reduced to a single number, hiding what breaks a policy. We decompose environments along five axes: scene (rural/urban), season, weather, time (day/night), and agent mix; and measure performance under controlled $k$-factor perturbat…

論文を読む →

2. Contact-Anchored Policies: Contact Conditioning Creates Strong Robot Utility Models

著者: Zichen Jeff Cui, Omar Rayyan, Haritheja Etukuru

The prevalent paradigm in robot learning attempts to generalize across environments, embodiments, and tasks with language prompts at runtime. A fundamental tension limits this approach: language is often too abstract to guide the concrete physical understanding required for robust manipulation. In t…

論文を読む →

3. CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection

著者: Fatemeh Nejati, Mahdi Rabbani, Mansur Mirani

Phishing attacks represents one of the primary attack methods which is used by cyber attackers. In many cases, attackers use deceptive emails along with malicious attachments to trick users into giving away sensitive information or installing malware while compromising entire systems. The flexibilit…

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.

⭐ 19 stars | 🔀 0 forks

リポジトリを見る →