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- 🚀 AI技術の最新動向 – 2026年1月17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 fdddf/modely Hazrat-Ali9/Gender-and-Age-Detection-With-Machine-Learning eswar-7116/wiki-semantic-crawler Ismail-Dagli/smart-ride-pooling 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. fdddf/modely AI models download in one command ⭐ 7 stars | 🔀 1 forks リポジトリを見る → 2. Hazrat-Ali9/Gender-and-Age-Detection-With-Machine-Learning ✈ Gender 🚁 Age 🚀 Detection 🛸 is an AI 🚁 powered 🚢 computer 🛬 vision ⛴ project 🚟 that 🚠 predicts 🚞 a person’s 🚋 gender 🏦 age 🏟 group 🏕 from 🏛 facial 🏪 images 🕌 using 🚌 machine 🎳 learning ⚽ deep ⚾ learning 🥎 techniques 🏀 system 🏐 performs 🏈 real 🏆 time 📙 image 📗 based 📘 analysis making it suitable analytics human centered AI ⭐ 6 stars | 🔀 0 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. Ismail-Dagli/smart-ride-pooling A comprehensive ride-pooling simulation engine featuring VRP optimization (OR-Tools), dynamic pricing algorithms and ML-based demand prediction. ⭐ 3 stars | 🔀 2 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 【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 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17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
- fdddf/modely
- Hazrat-Ali9/Gender-and-Age-Detection-With-Machine-Learning
- eswar-7116/wiki-semantic-crawler
- Ismail-Dagli/smart-ride-pooling
- 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
2. Hazrat-Ali9/Gender-and-Age-Detection-With-Machine-Learning
✈ Gender 🚁 Age 🚀 Detection 🛸 is an AI 🚁 powered 🚢 computer 🛬 vision ⛴ project 🚟 that 🚠 predicts 🚞 a person’s 🚋 gender 🏦 age 🏟 group 🏕 from 🏛 facial 🏪 images 🕌 using 🚌 machine 🎳 learning ⚽ deep ⚾ learning 🥎 techniques 🏀 system 🏐 performs 🏈 real 🏆 time 📙 image 📗 based 📘 analysis making it suitable analytics human centered AI
⭐ 6 stars | 🔀 0 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. Ismail-Dagli/smart-ride-pooling
A comprehensive ride-pooling simulation engine featuring VRP optimization (OR-Tools), dynamic pricing algorithms and ML-based demand prediction.
⭐ 3 stars | 🔀 2 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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