📝 この記事のポイント
- 🚀 AI技術の最新動向 – 2026年1月18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 Infatoshi/batmobile fdddf/modely eswar-7116/wiki-semantic-crawler christopher-altman/ibm-qml-kernel alaliqing/AlphaAD 📌 関連記事もチェック 📚 最新研究論文 1. DInf-Grid: A Neural Differential Equation Solver with Differentiable Feature Grids 著者: Navami Kairanda, Shanthika Naik, Marc Habermann We present a novel differentiable grid-based representation for efficiently solving differential equations (DEs). Widely used architectures for neural solvers, such as sinusoidal neural networks, are coordinate-based MLPs that are both computationally intensive and slow to train. Although grid-based… 論文を読む → 2. MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching 著者: Changle Qu, Sunhao Dai, Hengyi Cai Tool-Integrated Reasoning (TIR) empowers large language models (LLMs) to tackle complex tasks by interleaving reasoning steps with external tool interactions. However, existing reinforcement learning methods typically rely on outcome- or trajectory-level rewards, assigning uniform advantages to all … 論文を読む → 3. High-accuracy and dimension-free sampling with diffusions 著者: Khashayar Gatmiry, Sitan Chen, Adil Salim Diffusion models have shown remarkable empirical success in sampling from rich multi-modal distributions. Their inference relies on numerically solving a certain differential equation. This differential equation cannot be solved in closed form, and its resolution via discretization typically require… 論文を読む → 💻 注目のGitHubプロジェクト 1. Infatoshi/batmobile High-performance CUDA kernels for equivariant graph neural networks (MACE, NequIP, Allegro). 10-20x faster than e3nn. ⭐ 11 stars | 🔀 3 forks リポジトリを見る → 2. fdddf/modely AI models download in one command ⭐ 7 stars | 🔀 1 forks リポジトリを見る → 3. eswar-7116/wiki-semantic-crawler A Semantic A* Pathfinding agent that navigates Wikipedia using high-dimensional vector space. Built with Python, BeautifulSoup4, and Sentence-Transformers to bridge unrelated concepts through semantic context rather than just keywords. ⭐ 4 stars | 🔀 1 forks リポジトリを見る → 4. christopher-altman/ibm-qml-kernel Quantum kernel estimation with backend-matched IBM noise modeling, plus reproducible branch-transfer coherence-witness experiments executed via Qiskit Runtime on IBM Quantum hardware. ⭐ 3 stars | 🔀 0 forks リポジトリを見る → 5. alaliqing/AlphaAD 🚗 Automatically curated collection of the latest autonomous driving research papers from arXiv. Updated daily with categorized papers on perception, planning, control, and more. ⭐ 2 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？。
🚀 AI技術の最新動向 – 2026年1月18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
- Infatoshi/batmobile
- fdddf/modely
- eswar-7116/wiki-semantic-crawler
- christopher-altman/ibm-qml-kernel
- alaliqing/AlphaAD
- 📌 関連記事もチェック
📚 最新研究論文
1. DInf-Grid: A Neural Differential Equation Solver with Differentiable Feature Grids
著者: Navami Kairanda, Shanthika Naik, Marc Habermann
We present a novel differentiable grid-based representation for efficiently solving differential equations (DEs). Widely used architectures for neural solvers, such as sinusoidal neural networks, are coordinate-based MLPs that are both computationally intensive and slow to train. Although grid-based…
2. MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
著者: Changle Qu, Sunhao Dai, Hengyi Cai
Tool-Integrated Reasoning (TIR) empowers large language models (LLMs) to tackle complex tasks by interleaving reasoning steps with external tool interactions. However, existing reinforcement learning methods typically rely on outcome- or trajectory-level rewards, assigning uniform advantages to all …
3. High-accuracy and dimension-free sampling with diffusions
著者: Khashayar Gatmiry, Sitan Chen, Adil Salim
Diffusion models have shown remarkable empirical success in sampling from rich multi-modal distributions. Their inference relies on numerically solving a certain differential equation. This differential equation cannot be solved in closed form, and its resolution via discretization typically require…
💻 注目のGitHubプロジェクト
1. Infatoshi/batmobile
High-performance CUDA kernels for equivariant graph neural networks (MACE, NequIP, Allegro). 10-20x faster than e3nn.
⭐ 11 stars | 🔀 3 forks
3. eswar-7116/wiki-semantic-crawler
A Semantic A* Pathfinding agent that navigates Wikipedia using high-dimensional vector space. Built with Python, BeautifulSoup4, and Sentence-Transformers to bridge unrelated concepts through semantic context rather than just keywords.
⭐ 4 stars | 🔀 1 forks
4. christopher-altman/ibm-qml-kernel
Quantum kernel estimation with backend-matched IBM noise modeling, plus reproducible branch-transfer coherence-witness experiments executed via Qiskit Runtime on IBM Quantum hardware.
⭐ 3 stars | 🔀 0 forks
5. alaliqing/AlphaAD
🚗 Automatically curated collection of the latest autonomous driving research papers from arXiv. Updated daily with categorized papers on perception, planning, control, and more.
⭐ 2 stars | 🔀 0 forks
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