【AI最新動向 2026年2月1日】論文5件・GitHub5件

2026年2月1日2026年2月10日

📝 この記事のポイント

🚀 AI技術の最新動向 – 2026年2月1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 Stelteryz/Deep-Live-Cam-Multi-Camera-Object-Tracking-Webui Proxemnn/OpenBB-finance-AIPowered-Analysis-Agents Proxemnn/blankly-finance-plugins-RSI-Based-Crypto-Trading pentoai/ml-ralph nhevers/neuralcfd 📌 関連記事もチェック 📚 最新研究論文 1. RedSage: A Cybersecurity Generalist LLM 著者: Naufal Suryanto, Muzammal Naseer, Pengfei Li Cybersecurity operations demand assistant LLMs that support diverse workflows without exposing sensitive data. Existing solutions either rely on proprietary APIs with privacy risks or on open models lacking domain adaptation. To bridge this gap, we curate 11.8B tokens of cybersecurity-focused contin… 論文を読む → 2. Discovering Hidden Gems in Model Repositories 著者: Jonathan Kahana, Eliahu Horwitz, Yedid Hoshen Public repositories host millions of fine-tuned models, yet community usage remains disproportionately concentrated on a small number of foundation checkpoints. We investigate whether this concentration reflects efficient market selection or if superior models are systematically overlooked. Through … 論文を読む → 3. Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts 著者: Yingfa Chen, Zhen Leng Thai, Zihan Zhou Hybrid Transformer architectures, which combine softmax attention blocks and recurrent neural networks (RNNs), have shown a desirable performance-throughput tradeoff for long-context modeling, but their adoption and studies are hindered by the prohibitive cost of large-scale pre-training from scratc… 論文を読む → 💻 注目のGitHubプロジェクト 1. Stelteryz/Deep-Live-Cam-Multi-Camera-Object-Tracking-Webui Uses deepfake tech to bypass ID verification and 2FA by simulating a user’s face in real time during live webcam checks, tricking biometric systems into granting unauthorized access through realistic facial mimicry. machine-learning, webcam, faceswap, artificial-intelligence, deepfake, 2fa-bypass, identity-theft, spoofing ⭐ 40 stars | 🔀 0 forks リポジトリを見る → 2. Proxemnn/OpenBB-finance-AIPowered-Analysis-Agents Custom agents for OpenBB Workspace, plugins ⭐ 40 stars | 🔀 0 forks リポジトリを見る → 3. Proxemnn/blankly-finance-plugins-RSI-Based-Crypto-Trading financial machine learning tools and applications, trading strategies Financial portfolio optimisation. ⭐ 39 stars | 🔀 0 forks リポジトリを見る → 4. pentoai/ml-ralph Autonomous ML agent for running experiments using Claude or Codex. ⭐ 19 stars | 🔀 2 forks リポジトリを見る → 5. nhevers/neuralcfd neural network surrogate for CFD simulations ⭐ 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1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. Stelteryz/Deep-Live-Cam-Multi-Camera-Object-Tracking-Webui
2. Proxemnn/OpenBB-finance-AIPowered-Analysis-Agents
3. Proxemnn/blankly-finance-plugins-RSI-Based-Crypto-Trading
4. pentoai/ml-ralph
5. nhevers/neuralcfd
📌 関連記事もチェック

📚 最新研究論文

1. RedSage: A Cybersecurity Generalist LLM

著者: Naufal Suryanto, Muzammal Naseer, Pengfei Li

Cybersecurity operations demand assistant LLMs that support diverse workflows without exposing sensitive data. Existing solutions either rely on proprietary APIs with privacy risks or on open models lacking domain adaptation. To bridge this gap, we curate 11.8B tokens of cybersecurity-focused contin…

論文を読む →

2. Discovering Hidden Gems in Model Repositories

著者: Jonathan Kahana, Eliahu Horwitz, Yedid Hoshen

Public repositories host millions of fine-tuned models, yet community usage remains disproportionately concentrated on a small number of foundation checkpoints. We investigate whether this concentration reflects efficient market selection or if superior models are systematically overlooked. Through …

論文を読む →

3. Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts

著者: Yingfa Chen, Zhen Leng Thai, Zihan Zhou

Hybrid Transformer architectures, which combine softmax attention blocks and recurrent neural networks (RNNs), have shown a desirable performance-throughput tradeoff for long-context modeling, but their adoption and studies are hindered by the prohibitive cost of large-scale pre-training from scratc…

論文を読む →

💻 注目のGitHubプロジェクト

1. Stelteryz/Deep-Live-Cam-Multi-Camera-Object-Tracking-Webui

Uses deepfake tech to bypass ID verification and 2FA by simulating a user’s face in real time during live webcam checks, tricking biometric systems into granting unauthorized access through realistic facial mimicry. machine-learning, webcam, faceswap, artificial-intelligence, deepfake, 2fa-bypass, identity-theft, spoofing

⭐ 40 stars | 🔀 0 forks

リポジトリを見る →