【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-Fixbotanu-ai/botanu-sdk-pythonberrzebb/zeroquantHappyHackingSpace/ditobsTR/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 MaaloufOut 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 EtukuruThe 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 MiraniPhishing 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-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.⭐ 19 stars | 🔀 0 forksリポジトリを見る →2. botanu-ai/botanu-sdk-pythonOpenTelemetry-native run-level cost attribution SDK for AI workflows⭐ 10 stars | 🔀 1 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. HappyHackingSpace/ditHTML page, form and field type classifier using ML (LogReg + CRF)⭐ 8 stars | 🔀 3 forksリポジトリを見る →5. obsTR/SherlockMulti 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 →。

🚀 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 →