【AI最新動向 2026年1月5日】論文5件・GitHub5件

2026年1月5日2026年2月11日

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🚀 AI技術の最新動向 – 2026年1月5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 vinpatel/HumanMark bassrehab/mhc-visualizer han20192019/skill-composition-benchmark ecl-runtime/gpu-zombie-hunter Byzpy/byzpy 📌 関連記事もチェック 📚 最新研究論文 1. Two Deep Learning Approaches for Automated Segmentation of Left Ventricle in Cine Cardiac MRI 著者: Wenhui Chu, Nikolaos V. Tsekos Left ventricle (LV) segmentation is critical for clinical quantification and diagnosis of cardiac images. In this work, we propose two novel deep learning architectures called LNU-Net and IBU-Net for left ventricle segmentation from short-axis cine MRI images. LNU-Net is derived from layer normaliza… 論文を読む → 2. Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning 著者: Valentin Noël We present a training-free method for detecting valid mathematical reasoning in large language models through spectral analysis of attention patterns. By treating attention matrices as adjacency matrices of dynamic graphs over tokens, we extract four interpretable spectral diagnostics, the Fiedler v… 論文を読む → 3. FedHypeVAE: Federated Learning with Hypernetwork Generated Conditional VAEs for Differentially Private Embedding Sharing 著者: Sunny Gupta, Amit Sethi Federated data sharing promises utility without centralizing raw data, yet existing embedding-level generators struggle under non-IID client heterogeneity and provide limited formal protection against gradient leakage. We propose FedHypeVAE, a differentially private, hypernetwork-driven framework fo… 論文を読む → 💻 注目のGitHubプロジェクト 1. vinpatel/HumanMark Open source AI content detection. Detect AI-generated text, images, audio, video. Self-hosted, offline, zero dependencies. ⭐ 8 stars | 🔀 0 forks リポジトリを見る → 2. bassrehab/mhc-visualizer Interactive visualization of Manifold-Constrained Hyper-Connections (mHC) for stable deep network training ⭐ 6 stars | 🔀 0 forks リポジトリを見る → 3. han20192019/skill-composition-benchmark Benchmarks for Compose by Focus: Scene Graph-based Atomic Skills ⭐ 6 stars | 🔀 0 forks リポジトリを見る → 4. ecl-runtime/gpu-zombie-hunter Detects idle GPU zombie processes holding memory but doing 0% compute. Saves $1000s/month on H100/A100 clusters. Read-only nvidia-smi tool. ⭐ 3 stars | 🔀 0 forks リポジトリを見る → 5. Byzpy/byzpy Unified Python framework for Byzantine-robust learning ⭐ 3 stars | 🔀 4 forks リポジトリを見る → 📚 あわせて読みたいコールセンター応答率2倍!? 音声認識AI導入でオペレーター3割減の衝撃！【衝撃】画像認識AI頂上決戦！Gemini圧勝の理由製造業の品質検査、AIでコスト激減！？【完全自動化ガイド】。

🚀 AI技術の最新動向 – 2026年1月5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. vinpatel/HumanMark
2. bassrehab/mhc-visualizer
3. han20192019/skill-composition-benchmark
4. ecl-runtime/gpu-zombie-hunter
5. Byzpy/byzpy
📌 関連記事もチェック

📚 最新研究論文

1. Two Deep Learning Approaches for Automated Segmentation of Left Ventricle in Cine Cardiac MRI

著者: Wenhui Chu, Nikolaos V. Tsekos

Left ventricle (LV) segmentation is critical for clinical quantification and diagnosis of cardiac images. In this work, we propose two novel deep learning architectures called LNU-Net and IBU-Net for left ventricle segmentation from short-axis cine MRI images. LNU-Net is derived from layer normaliza…

論文を読む →

2. Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning

著者: Valentin Noël

We present a training-free method for detecting valid mathematical reasoning in large language models through spectral analysis of attention patterns. By treating attention matrices as adjacency matrices of dynamic graphs over tokens, we extract four interpretable spectral diagnostics, the Fiedler v…

論文を読む →

3. FedHypeVAE: Federated Learning with Hypernetwork Generated Conditional VAEs for Differentially Private Embedding Sharing

著者: Sunny Gupta, Amit Sethi

Federated data sharing promises utility without centralizing raw data, yet existing embedding-level generators struggle under non-IID client heterogeneity and provide limited formal protection against gradient leakage. We propose FedHypeVAE, a differentially private, hypernetwork-driven framework fo…

論文を読む →