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- 🚀 AI技術の最新動向 – 2026年3月4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 kossisoroyce/timber gunmetal57qa8q/AimAssist hanxiao/umap-mlx Scottcjn/legend-of-elya-n64 hanxiao/pacmap-mlx 📌 関連記事もチェック 📚 最新研究論文 1. CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance 著者: Hanyang Wang, Yiyang Liu, Jiawei Chi Classifier-Free Guidance (CFG) has emerged as a central approach for enhancing semantic alignment in flow-based diffusion models. In this paper, we explore a unified framework called CFG-Ctrl, which reinterprets CFG as a control applied to the first-order continuous-time generative flow, using the c… 論文を読む → 2. How to Peel with a Knife: Aligning Fine-Grained Manipulation with Human Preference 著者: Toru Lin, Shuying Deng, Zhao-Heng Yin Many essential manipulation tasks – such as food preparation, surgery, and craftsmanship – remain intractable for autonomous robots. These tasks are characterized not only by contact-rich, force-sensitive dynamics, but also by their "implicit" success criteria: unlike pick-and-place, task quality in… 論文を読む → 3. Tether: Autonomous Functional Play with Correspondence-Driven Trajectory Warping 著者: William Liang, Sam Wang, Hung-Ju Wang The ability to conduct and learn from interaction and experience is a central challenge in robotics, offering a scalable alternative to labor-intensive human demonstrations. However, realizing such "play" requires (1) a policy robust to diverse, potentially out-of-distribution environment states, an… 論文を読む → 💻 注目のGitHubプロジェクト 1. kossisoroyce/timber Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference. ⭐ 526 stars | 🔀 13 forks リポジトリを見る → 2. gunmetal57qa8q/AimAssist AI | AIM | ASSIST | MORE GAME | CS2 | APEX | 2026 ⭐ 69 stars | 🔀 0 forks リポジトリを見る → 3. hanxiao/umap-mlx UMAP in pure MLX for Apple Silicon. 30x faster than umap-learn. ⭐ 36 stars | 🔀 3 forks リポジトリを見る → 4. Scottcjn/legend-of-elya-n64 Legend of Elya — N64 game with a real 819K-parameter transformer running on the VR4300 MIPS III CPU. Zelda-style dungeon, AI NPCs, byte-level inference at 60 tok/s. Built with libdragon SDK. ⭐ 18 stars | 🔀 2 forks リポジトリを見る → 5. hanxiao/pacmap-mlx PaCMAP in pure MLX for Apple Silicon. Pure GPU, no scipy/numba. ⭐ 16 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3月4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
- kossisoroyce/timber
- gunmetal57qa8q/AimAssist
- hanxiao/umap-mlx
- Scottcjn/legend-of-elya-n64
- hanxiao/pacmap-mlx
- 📌 関連記事もチェック
📚 最新研究論文
1. CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance
著者: Hanyang Wang, Yiyang Liu, Jiawei Chi
Classifier-Free Guidance (CFG) has emerged as a central approach for enhancing semantic alignment in flow-based diffusion models. In this paper, we explore a unified framework called CFG-Ctrl, which reinterprets CFG as a control applied to the first-order continuous-time generative flow, using the c…
2. How to Peel with a Knife: Aligning Fine-Grained Manipulation with Human Preference
著者: Toru Lin, Shuying Deng, Zhao-Heng Yin
Many essential manipulation tasks – such as food preparation, surgery, and craftsmanship – remain intractable for autonomous robots. These tasks are characterized not only by contact-rich, force-sensitive dynamics, but also by their "implicit" success criteria: unlike pick-and-place, task quality in…
3. Tether: Autonomous Functional Play with Correspondence-Driven Trajectory Warping
著者: William Liang, Sam Wang, Hung-Ju Wang
The ability to conduct and learn from interaction and experience is a central challenge in robotics, offering a scalable alternative to labor-intensive human demonstrations. However, realizing such "play" requires (1) a policy robust to diverse, potentially out-of-distribution environment states, an…
💻 注目のGitHubプロジェクト
1. kossisoroyce/timber
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.
⭐ 526 stars | 🔀 13 forks
2. gunmetal57qa8q/AimAssist
AI | AIM | ASSIST | MORE GAME | CS2 | APEX | 2026
⭐ 69 stars | 🔀 0 forks
3. hanxiao/umap-mlx
UMAP in pure MLX for Apple Silicon. 30x faster than umap-learn.
⭐ 36 stars | 🔀 3 forks
4. Scottcjn/legend-of-elya-n64
Legend of Elya — N64 game with a real 819K-parameter transformer running on the VR4300 MIPS III CPU. Zelda-style dungeon, AI NPCs, byte-level inference at 60 tok/s. Built with libdragon SDK.
⭐ 18 stars | 🔀 2 forks
5. hanxiao/pacmap-mlx
PaCMAP in pure MLX for Apple Silicon. Pure GPU, no scipy/numba.
⭐ 16 stars | 🔀 0 forks
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