📝 この記事のポイント
- 🚀 AI技術の最新動向 - 2026年4月12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Xiangyue-Zhang/auto-deep-researcher-24x7ebringelvissanchez/Image-AI-Generator-2026atomicarchitects/equiformer_v3reacher-z/ClawBench4rtemi5/halo📌 関連記事もチェック📚 最新研究論文1. Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models著者: Shilin Yan, Jintao Tong, Hongwei XueThe advent of agentic multimodal models has empowered systems to actively interact with external environments. However, current agents suffer from a profound meta-cognitive deficit: they struggle to arbitrate between leveraging internal knowledge and querying external utilities. Consequently, they f...論文を読む →2. SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds著者: Yunsong Zhou, Hangxu Liu, Xuekun JiangRobotic manipulation with deformable objects represents a data-intensive regime in embodied learning, where shape, contact, and topology co-evolve in ways that far exceed the variability of rigids. Although simulation promises relief from the cost of real-world data acquisition, prevailing sim-to-re...論文を読む →3. Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts著者: Haolei Xu, Haiwen Hong, Hongxing LiMultimodal Mixture-of-Experts (MoE) models have achieved remarkable performance on vision-language tasks. However, we identify a puzzling phenomenon termed Seeing but Not Thinking: models accurately perceive image content yet fail in subsequent reasoning, while correctly solving identical problems p...論文を読む →💻 注目のGitHubプロジェクト1. Xiangyue-Zhang/auto-deep-researcher-24x7🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.⭐ 292 stars | 🔀 20 forksリポジトリを見る →2. ebringelvissanchez/Image-AI-Generator-2026AI Image Generator is a powerful and user-friendly desktop application designed to help creators produce stunning, high-quality artwork, photorealistic renders, and creative concepts quickly and easily.⭐ 54 stars | 🔀 0 forksリポジトリを見る →3. atomicarchitects/equiformer_v3EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers⭐ 31 stars | 🔀 0 forksリポジトリを見る →4. reacher-z/ClawBenchCan AI Agents Complete Everyday Online Tasks? 153 tasks, 144 live websites, 15 categories.⭐ 27 stars | 🔀 2 forksリポジトリを見る →5. 4rtemi5/haloA drop-in replacement for the standard Categorical Cross-Entropy (CCE) loss that significantly improves OOD and Calibration performance without reducing ID performance.⭐ 25 stars | 🔀 3 forksリポジトリを見る →。
🚀 AI技術の最新動向 – 2026年4月12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
- Xiangyue-Zhang/auto-deep-researcher-24×7
- ebringelvissanchez/Image-AI-Generator-2026
- atomicarchitects/equiformer_v3
- reacher-z/ClawBench
- 4rtemi5/halo
- 📌 関連記事もチェック
📚 最新研究論文
1. Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models
著者: Shilin Yan, Jintao Tong, Hongwei Xue
The advent of agentic multimodal models has empowered systems to actively interact with external environments. However, current agents suffer from a profound meta-cognitive deficit: they struggle to arbitrate between leveraging internal knowledge and querying external utilities. Consequently, they f…
2. SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds
著者: Yunsong Zhou, Hangxu Liu, Xuekun Jiang
Robotic manipulation with deformable objects represents a data-intensive regime in embodied learning, where shape, contact, and topology co-evolve in ways that far exceed the variability of rigids. Although simulation promises relief from the cost of real-world data acquisition, prevailing sim-to-re…
3. Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts
著者: Haolei Xu, Haiwen Hong, Hongxing Li
Multimodal Mixture-of-Experts (MoE) models have achieved remarkable performance on vision-language tasks. However, we identify a puzzling phenomenon termed Seeing but Not Thinking: models accurately perceive image content yet fail in subsequent reasoning, while correctly solving identical problems p…
💻 注目のGitHubプロジェクト
1. Xiangyue-Zhang/auto-deep-researcher-24×7
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
⭐ 292 stars | 🔀 20 forks
2. ebringelvissanchez/Image-AI-Generator-2026
AI Image Generator is a powerful and user-friendly desktop application designed to help creators produce stunning, high-quality artwork, photorealistic renders, and creative concepts quickly and easily.
⭐ 54 stars | 🔀 0 forks
3. atomicarchitects/equiformer_v3
EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers
⭐ 31 stars | 🔀 0 forks
4. reacher-z/ClawBench
Can AI Agents Complete Everyday Online Tasks? 153 tasks, 144 live websites, 15 categories.
⭐ 27 stars | 🔀 2 forks
5. 4rtemi5/halo
A drop-in replacement for the standard Categorical Cross-Entropy (CCE) loss that significantly improves OOD and Calibration performance without reducing ID performance.
⭐ 25 stars | 🔀 3 forks
