【AI最新動向 2026年2月12日】論文5件・GitHub5件

【AI最新動向 2026年2月12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12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 adoslabsproject-gif/nothumanallowed saurav-yirifi/blueprint-ai-first-company berrzebb/zeroquant HappyHackingSpace/dit obsTR/Sherlock 📌 関連記事もチェック 📚 最新研究論文 1. Diffusion-Pretrained Dense and Contextual Embeddings 著者: Sedigheh Eslami, Maksim Gaiduk, Markus Krimmel In this report, we introduce pplx-embed, a family of multilingual embedding models that employ multi-stage contrastive learning on a diffusion-pretrained language model backbone for web-scale retrieval. By leveraging bidirectional attention through diffusion-based pretraining, our models capture com… 論文を読む → 2. YOR: Your Own Mobile Manipulator for Generalizable Robotics 著者: Manan H Anjaria, Mehmet Enes Erciyes, Vedant Ghatnekar Recent advances in robot learning have generated significant interest in capable platforms that may eventually approach human-level competence. This interest, combined with the commoditization of actuators, has propelled growth in low-cost robotic platforms. However, the optimal form factor for mobi… 論文を読む → 3. Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling 著者: Gongye Liu, Bo Yang, Yida Zhi Preference optimization for diffusion and flow-matching models relies on reward functions that are both discriminatively robust and computationally efficient. Vision-Language Models (VLMs) have emerged as the primary reward provider, leveraging their rich multimodal priors to guide alignment. Howeve… 論文を読む → 💻 注目のGitHubプロジェクト 1. adoslabsproject-gif/nothumanallowed 42 AI agents. 9-layer consensus. One prompt. | Multi-agent orchestrator with ONNX neural routing, semantic convergence, and cross-LLM validation. https://nothumanallowed.com ⭐ 42 stars | 🔀 10 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. ⭐ 15 stars | 🔀 1 forks リポジトリを見る → 3. berrzebb/zeroquant Rust 기반 고성능 자동화 트레이딩 시스템 ⭐ 10 stars | 🔀 8 forks リポジトリを見る → 4. HappyHackingSpace/dit HTML page, form and field type classifier using ML (LogReg + CRF) ⭐ 10 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. ⭐ 9 stars | 🔀 0 forks リポジトリを見る → 📚 あわせて読みたい 【AI最新動向】一歩先の未来へ!私が触れた最先端AIの世界 「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。
目次

🚀 AI技術の最新動向 – 2026年2月12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. adoslabsproject-gif/nothumanallowed
    2. saurav-yirifi/blueprint-ai-first-company
    3. berrzebb/zeroquant
    4. HappyHackingSpace/dit
    5. obsTR/Sherlock
  2. 📌 関連記事もチェック

📚 最新研究論文

1. Diffusion-Pretrained Dense and Contextual Embeddings

著者: Sedigheh Eslami, Maksim Gaiduk, Markus Krimmel

In this report, we introduce pplx-embed, a family of multilingual embedding models that employ multi-stage contrastive learning on a diffusion-pretrained language model backbone for web-scale retrieval. By leveraging bidirectional attention through diffusion-based pretraining, our models capture com…

論文を読む →

2. YOR: Your Own Mobile Manipulator for Generalizable Robotics

著者: Manan H Anjaria, Mehmet Enes Erciyes, Vedant Ghatnekar

Recent advances in robot learning have generated significant interest in capable platforms that may eventually approach human-level competence. This interest, combined with the commoditization of actuators, has propelled growth in low-cost robotic platforms. However, the optimal form factor for mobi…

論文を読む →

3. Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling

著者: Gongye Liu, Bo Yang, Yida Zhi

Preference optimization for diffusion and flow-matching models relies on reward functions that are both discriminatively robust and computationally efficient. Vision-Language Models (VLMs) have emerged as the primary reward provider, leveraging their rich multimodal priors to guide alignment. Howeve…

論文を読む →

💻 注目のGitHubプロジェクト

1. adoslabsproject-gif/nothumanallowed

42 AI agents. 9-layer consensus. One prompt. | Multi-agent orchestrator with ONNX neural routing, semantic convergence, and cross-LLM validation. https://nothumanallowed.com

⭐ 42 stars | 🔀 10 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.

⭐ 15 stars | 🔀 1 forks

リポジトリを見る →

3. berrzebb/zeroquant

Rust 기반 고성능 자동화 트레이딩 시스템

⭐ 10 stars | 🔀 8 forks

リポジトリを見る →

4. HappyHackingSpace/dit

HTML page, form and field type classifier using ML (LogReg + CRF)

⭐ 10 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.

⭐ 9 stars | 🔀 0 forks

リポジトリを見る →

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