【AI最新動向 2026年2月7日】論文5件・GitHub5件

【AI最新動向 2026年2月7日】論文5件・GitHub5件

📝 この記事のポイント

  • 🚀 AI技術の最新動向 – 2026年2月7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 botanu-ai/botanu-sdk-python Dipta04/Project_Machine_Learning SyedShaheerHussain/Anti_Phishing_Email_Detector_gui mindfiredigital/Agentic-Web-Starter Norma-Q/Pauli-Propagation—GPU-acceleration 📌 関連記事もチェック 📚 最新研究論文 1. Shared LoRA Subspaces for almost Strict Continual Learning 著者: Prakhar Kaushik, Ankit Vaidya, Shravan Chaudhari Adapting large pretrained models to new tasks efficiently and continually is crucial for real-world deployment but remains challenging due to catastrophic forgetting and the high cost of retraining. While parameter-efficient tuning methods like low rank adaptation (LoRA) reduce computational demands… 論文を読む → 2. Pseudo-Invertible Neural Networks 著者: Yamit Ehrlich, Nimrod Berman, Assaf Shocher The Moore-Penrose Pseudo-inverse (PInv) serves as the fundamental solution for linear systems. In this paper, we propose a natural generalization of PInv to the nonlinear regime in general and to neural networks in particular. We introduce Surjective Pseudo-invertible Neural Networks (SPNN), a class… 論文を読む → 3. DyTopo: Dynamic Topology Routing for Multi-Agent Reasoning via Semantic Matching 著者: Yuxing Lu, Yucheng Hu, Xukai Zhao Multi-agent systems built from prompted large language models can improve multi-round reasoning, yet most existing pipelines rely on fixed, trajectory-wide communication patterns that are poorly matched to the stage-dependent needs of iterative problem solving. We introduce DyTopo, a manager-guided … 論文を読む → 💻 注目のGitHubプロジェクト 1. botanu-ai/botanu-sdk-python OpenTelemetry-native run-level cost attribution SDK for AI workflows ⭐ 9 stars | 🔀 1 forks リポジトリを見る → 2. Dipta04/Project_Machine_Learning HSC Result Predictor using Random Forest Regression to forecast student exam scores based on historical data and performance indicators. ⭐ 7 stars | 🔀 0 forks リポジトリを見る → 3. SyedShaheerHussain/Anti_Phishing_Email_Detector_gui Analyzes email content, headers, and links to identify phishing attacks, calculate risk scores, store history, and visualize ML evaluation results. ⭐ 7 stars | 🔀 0 forks リポジトリを見る → 4. mindfiredigital/Agentic-Web-Starter A FastAPI-based backend scaffold for building agentic applications and pipelines. It exposes ingestion, retrieval, and chat APIs, integrating Qdrant for vector-based similarity search and Redis for persistent, session-scoped conversation memory. ⭐ 7 stars | 🔀 0 forks リポジトリを見る → 5. Norma-Q/Pauli-Propagation—GPU-acceleration GPU-accelerated Pauli propagation for efficient quantum simulations ⭐ 4 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?。
目次

🚀 AI技術の最新動向 – 2026年2月7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

  1. 💻 注目のGitHubプロジェクト
    1. botanu-ai/botanu-sdk-python
    2. Dipta04/Project_Machine_Learning
    3. SyedShaheerHussain/Anti_Phishing_Email_Detector_gui
    4. mindfiredigital/Agentic-Web-Starter
    5. Norma-Q/Pauli-Propagation—GPU-acceleration
  2. 📌 関連記事もチェック

📚 最新研究論文

1. Shared LoRA Subspaces for almost Strict Continual Learning

著者: Prakhar Kaushik, Ankit Vaidya, Shravan Chaudhari

Adapting large pretrained models to new tasks efficiently and continually is crucial for real-world deployment but remains challenging due to catastrophic forgetting and the high cost of retraining. While parameter-efficient tuning methods like low rank adaptation (LoRA) reduce computational demands…

論文を読む →

2. Pseudo-Invertible Neural Networks

著者: Yamit Ehrlich, Nimrod Berman, Assaf Shocher

The Moore-Penrose Pseudo-inverse (PInv) serves as the fundamental solution for linear systems. In this paper, we propose a natural generalization of PInv to the nonlinear regime in general and to neural networks in particular. We introduce Surjective Pseudo-invertible Neural Networks (SPNN), a class…

論文を読む →

3. DyTopo: Dynamic Topology Routing for Multi-Agent Reasoning via Semantic Matching

著者: Yuxing Lu, Yucheng Hu, Xukai Zhao

Multi-agent systems built from prompted large language models can improve multi-round reasoning, yet most existing pipelines rely on fixed, trajectory-wide communication patterns that are poorly matched to the stage-dependent needs of iterative problem solving. We introduce DyTopo, a manager-guided …

論文を読む →

💻 注目のGitHubプロジェクト

1. botanu-ai/botanu-sdk-python

OpenTelemetry-native run-level cost attribution SDK for AI workflows

⭐ 9 stars | 🔀 1 forks

リポジトリを見る →

2. Dipta04/Project_Machine_Learning

HSC Result Predictor using Random Forest Regression to forecast student exam scores based on historical data and performance indicators.

⭐ 7 stars | 🔀 0 forks

リポジトリを見る →

3. SyedShaheerHussain/Anti_Phishing_Email_Detector_gui

Analyzes email content, headers, and links to identify phishing attacks, calculate risk scores, store history, and visualize ML evaluation results.

⭐ 7 stars | 🔀 0 forks

リポジトリを見る →

4. mindfiredigital/Agentic-Web-Starter

A FastAPI-based backend scaffold for building agentic applications and pipelines. It exposes ingestion, retrieval, and chat APIs, integrating Qdrant for vector-based similarity search and Redis for persistent, session-scoped conversation memory.

⭐ 7 stars | 🔀 0 forks

リポジトリを見る →

5. Norma-Q/Pauli-Propagation—GPU-acceleration

GPU-accelerated Pauli propagation for efficient quantum simulations

⭐ 4 stars | 🔀 0 forks

リポジトリを見る →

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