📝 この記事のポイント
- 🚀 AI技術の最新動向 – 2026年1月19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 analyticalrohit/llms-from-scratch eswar-7116/wiki-semantic-crawler alaliqing/AlphaAD 📌 関連記事もチェック 📚 最新研究論文 1. Do explanations generalize across large reasoning models? 著者: Koyena Pal, David Bau, Chandan Singh Large reasoning models (LRMs) produce a textual chain of thought (CoT) in the process of solving a problem, which serves as a potentially powerful tool to understand the problem by surfacing a human-readable, natural-language explanation. However, it is unclear whether these explanations generalize,… 論文を読む → 2. Building Production-Ready Probes For Gemini 著者: János Kramár, Joshua Engels, Zheng Wang Frontier language model capabilities are improving rapidly. We thus need stronger mitigations against bad actors misusing increasingly powerful systems. Prior work has shown that activation probes may be a promising misuse mitigation technique, but we identify a key remaining challenge: probes fail … 論文を読む → 3. ShapeR: Robust Conditional 3D Shape Generation from Casual Captures 著者: Yawar Siddiqui, Duncan Frost, Samir Aroudj Recent advances in 3D shape generation have achieved impressive results, but most existing methods rely on clean, unoccluded, and well-segmented inputs. Such conditions are rarely met in real-world scenarios. We present ShapeR, a novel approach for conditional 3D object shape generation from casuall… 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. ⭐ 15 stars | 🔀 4 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. analyticalrohit/llms-from-scratch Build a ChatGPT like LLM from scratch in PyTorch, explained step by step. ⭐ 5 stars | 🔀 0 forks リポジトリを見る → 4. 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 → 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. ⭐ 3 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1月19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
- analyticalrohit/llms-from-scratch
- eswar-7116/wiki-semantic-crawler
- alaliqing/AlphaAD
- 📌 関連記事もチェック
📚 最新研究論文
1. Do explanations generalize across large reasoning models?
著者: Koyena Pal, David Bau, Chandan Singh
Large reasoning models (LRMs) produce a textual chain of thought (CoT) in the process of solving a problem, which serves as a potentially powerful tool to understand the problem by surfacing a human-readable, natural-language explanation. However, it is unclear whether these explanations generalize,…
2. Building Production-Ready Probes For Gemini
著者: János Kramár, Joshua Engels, Zheng Wang
Frontier language model capabilities are improving rapidly. We thus need stronger mitigations against bad actors misusing increasingly powerful systems. Prior work has shown that activation probes may be a promising misuse mitigation technique, but we identify a key remaining challenge: probes fail …
3. ShapeR: Robust Conditional 3D Shape Generation from Casual Captures
著者: Yawar Siddiqui, Duncan Frost, Samir Aroudj
Recent advances in 3D shape generation have achieved impressive results, but most existing methods rely on clean, unoccluded, and well-segmented inputs. Such conditions are rarely met in real-world scenarios. We present ShapeR, a novel approach for conditional 3D object shape generation from casuall…
💻 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.
⭐ 15 stars | 🔀 4 forks
3. analyticalrohit/llms-from-scratch
Build a ChatGPT like LLM from scratch in PyTorch, explained step by step.
⭐ 5 stars | 🔀 0 forks
4. 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
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.
⭐ 3 stars | 🔀 0 forks
📚 あわせて読みたい
コメント