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- 🚀 AI技術の最新動向 – 2026年2月26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 inollp7855/claude-skills-collection-2026 Abdulrahman-S-Asiri/Data_Science_Basics Visiblegrupour/AI-Face-Changer-Real-Time incocreativedev/tessera-core AmirhosseinHonardoust/Underwriting-Decision-Safety-Lab 📌 関連記事もチェック 📚 最新研究論文 1. Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets 著者: Hanna Yukhymenko, Anton Alexandrov, Martin Vechev The reliability of multilingual Large Language Model (LLM) evaluation is currently compromised by the inconsistent quality of translated benchmarks. Existing resources often suffer from semantic drift and context loss, which can lead to misleading performance metrics. In this work, we present a full… 論文を読む → 2. Off-The-Shelf Image-to-Image Models Are All You Need To Defeat Image Protection Schemes 著者: Xavier Pleimling, Sifat Muhammad Abdullah, Gunjan Balde Advances in Generative AI (GenAI) have led to the development of various protection strategies to prevent the unauthorized use of images. These methods rely on adding imperceptible protective perturbations to images to thwart misuse such as style mimicry or deepfake manipulations. Although previous … 論文を読む → 3. GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL 著者: Rui Yang, Qianhui Wu, Zhaoyang Wang Open-source native GUI agents still lag behind closed-source systems on long-horizon navigation tasks. This gap stems from two limitations: a shortage of high-quality, action-aligned reasoning data, and the direct adoption of generic post-training pipelines that overlook the unique challenges of GUI… 論文を読む → 💻 注目のGitHubプロジェクト 1. inollp7855/claude-skills-collection-2026 Complete collection of Claude Skills for 2026. 100+ production-ready skills for development, productivity, research, and automation. Educational open-source project. ⭐ 24 stars | 🔀 0 forks リポジトリを見る → 2. Abdulrahman-S-Asiri/Data_Science_Basics 📊 Complete Data Science Guide — Bilingual (Arabic/English) — From Zero to Hero ⭐ 21 stars | 🔀 3 forks リポジトリを見る → 3. Visiblegrupour/AI-Face-Changer-Real-Time AI Face Changer is a powerful AI-powered face swap and face editing software using deep learning and computer vision. Instantly replace faces in photos and videos with high-quality, realistic results. Perfect for content creators, social media, marketing, and fun entertainment projects. Fast, secure, and easy to use. ⭐ 17 stars | 🔀 0 forks リポジトリを見る → 4. incocreativedev/tessera-core An activation-based protocol for AI-to-AI knowledge transfer across architectures ⭐ 11 stars | 🔀 0 forks リポジトリを見る → 5. AmirhosseinHonardoust/Underwriting-Decision-Safety-Lab A decision-safety lab for loan approval: trains a baseline classifier, calibrates probabilities (ECE/Brier), sweeps confidence thresholds to build a coverage, quality frontier and outputs a defensible abstention policy (auto-decide vs review). Includes a Streamlit dashboard for report cards, triage UI, and data quality checks. ⭐ 11 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。
🚀 AI技術の最新動向 – 2026年2月26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
- inollp7855/claude-skills-collection-2026
- Abdulrahman-S-Asiri/Data_Science_Basics
- Visiblegrupour/AI-Face-Changer-Real-Time
- incocreativedev/tessera-core
- AmirhosseinHonardoust/Underwriting-Decision-Safety-Lab
- 📌 関連記事もチェック
📚 最新研究論文
1. Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets
著者: Hanna Yukhymenko, Anton Alexandrov, Martin Vechev
The reliability of multilingual Large Language Model (LLM) evaluation is currently compromised by the inconsistent quality of translated benchmarks. Existing resources often suffer from semantic drift and context loss, which can lead to misleading performance metrics. In this work, we present a full…
2. Off-The-Shelf Image-to-Image Models Are All You Need To Defeat Image Protection Schemes
著者: Xavier Pleimling, Sifat Muhammad Abdullah, Gunjan Balde
Advances in Generative AI (GenAI) have led to the development of various protection strategies to prevent the unauthorized use of images. These methods rely on adding imperceptible protective perturbations to images to thwart misuse such as style mimicry or deepfake manipulations. Although previous …
3. GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL
著者: Rui Yang, Qianhui Wu, Zhaoyang Wang
Open-source native GUI agents still lag behind closed-source systems on long-horizon navigation tasks. This gap stems from two limitations: a shortage of high-quality, action-aligned reasoning data, and the direct adoption of generic post-training pipelines that overlook the unique challenges of GUI…
💻 注目のGitHubプロジェクト
1. inollp7855/claude-skills-collection-2026
Complete collection of Claude Skills for 2026. 100+ production-ready skills for development, productivity, research, and automation. Educational open-source project.
⭐ 24 stars | 🔀 0 forks
2. Abdulrahman-S-Asiri/Data_Science_Basics
📊 Complete Data Science Guide — Bilingual (Arabic/English) — From Zero to Hero
⭐ 21 stars | 🔀 3 forks
3. Visiblegrupour/AI-Face-Changer-Real-Time
AI Face Changer is a powerful AI-powered face swap and face editing software using deep learning and computer vision. Instantly replace faces in photos and videos with high-quality, realistic results. Perfect for content creators, social media, marketing, and fun entertainment projects. Fast, secure, and easy to use.
⭐ 17 stars | 🔀 0 forks
4. incocreativedev/tessera-core
An activation-based protocol for AI-to-AI knowledge transfer across architectures
⭐ 11 stars | 🔀 0 forks
5. AmirhosseinHonardoust/Underwriting-Decision-Safety-Lab
A decision-safety lab for loan approval: trains a baseline classifier, calibrates probabilities (ECE/Brier), sweeps confidence thresholds to build a coverage, quality frontier and outputs a defensible abstention policy (auto-decide vs review). Includes a Streamlit dashboard for report cards, triage UI, and data quality checks.
⭐ 11 stars | 🔀 0 forks
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