【AI最新動向 2026年3月30日】論文5件・GitHub5件

【AI最新動向 2026年3月30日】論文5件・GitHub5件

📝 この記事のポイント

  • 🚀 AI技術の最新動向 – 2026年3月30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 alvinunreal/awesome-opensource-ai dreddnafious/thereisnospoon kayba-ai/recursive-improve kreuzberg-dev/liter-llm TensorCEO/TensorCEO 📌 関連記事もチェック 📚 最新研究論文 1. Ruka-v2: Tendon Driven Open-Source Dexterous Hand with Wrist and Abduction for Robot Learning 著者: Xinqi, Liu, Ruoxi Hu Lack of accessible and dexterous robot hardware has been a significant bottleneck to achieving human-level dexterity in robots. Last year, we released Ruka, a fully open-sourced, tendon-driven humanoid hand with 11 degrees of freedom – 2 per finger and 3 at the thumb – buildable for under $1,300. It… 論文を読む → 2. Tunable Soft Equivariance with Guarantees 著者: Md Ashiqur Rahman, Lim Jun Hao, Jeremiah Jiang Equivariance is a fundamental property in computer vision models, yet strict equivariance is rarely satisfied in real-world data, which can limit a model's performance. Controlling the degree of equivariance is therefore desirable. We propose a general framework for constructing soft equivariant mod… 論文を読む → 3. PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning 著者: Shaoxuan Li, Zhixuan Zhao, Hanze Deng We introduce PerceptionComp, a manually annotated benchmark for complex, long-horizon, perception-centric video reasoning. PerceptionComp is designed so that no single moment is sufficient: answering each question requires multiple temporally separated pieces of visual evidence and compositional con… 論文を読む → 💻 注目のGitHubプロジェクト 1. alvinunreal/awesome-opensource-ai Curated list of the best truly open-source AI projects, models, tools, and infrastructure. ⭐ 1,968 stars | 🔀 154 forks リポジトリを見る → 2. dreddnafious/thereisnospoon A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems. ⭐ 321 stars | 🔀 14 forks リポジトリを見る → 3. kayba-ai/recursive-improve 🪞 Make your agents recursively self-improve ⭐ 117 stars | 🔀 8 forks リポジトリを見る → 4. kreuzberg-dev/liter-llm Universal LLM API client — 142+ providers, 11 native language bindings, powered by Rust core ⭐ 90 stars | 🔀 5 forks リポジトリを見る → 5. TensorCEO/TensorCEO 计算机毕业设计、机器学习毕业设计、深度学习毕业设计、原创AI项目【源码+论文】 ⭐ 58 stars | 🔀 4 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。
目次

🚀 AI技術の最新動向 – 2026年3月30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

  1. 💻 注目のGitHubプロジェクト
    1. alvinunreal/awesome-opensource-ai
    2. dreddnafious/thereisnospoon
    3. kayba-ai/recursive-improve
    4. kreuzberg-dev/liter-llm
    5. TensorCEO/TensorCEO
  2. 📌 関連記事もチェック

📚 最新研究論文

1. Ruka-v2: Tendon Driven Open-Source Dexterous Hand with Wrist and Abduction for Robot Learning

著者: Xinqi, Liu, Ruoxi Hu

Lack of accessible and dexterous robot hardware has been a significant bottleneck to achieving human-level dexterity in robots. Last year, we released Ruka, a fully open-sourced, tendon-driven humanoid hand with 11 degrees of freedom – 2 per finger and 3 at the thumb – buildable for under $1,300. It…

論文を読む →

2. Tunable Soft Equivariance with Guarantees

著者: Md Ashiqur Rahman, Lim Jun Hao, Jeremiah Jiang

Equivariance is a fundamental property in computer vision models, yet strict equivariance is rarely satisfied in real-world data, which can limit a model's performance. Controlling the degree of equivariance is therefore desirable. We propose a general framework for constructing soft equivariant mod…

論文を読む →

3. PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning

著者: Shaoxuan Li, Zhixuan Zhao, Hanze Deng

We introduce PerceptionComp, a manually annotated benchmark for complex, long-horizon, perception-centric video reasoning. PerceptionComp is designed so that no single moment is sufficient: answering each question requires multiple temporally separated pieces of visual evidence and compositional con…

論文を読む →

💻 注目のGitHubプロジェクト

1. alvinunreal/awesome-opensource-ai

Curated list of the best truly open-source AI projects, models, tools, and infrastructure.

⭐ 1,968 stars | 🔀 154 forks

リポジトリを見る →

2. dreddnafious/thereisnospoon

A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.

⭐ 321 stars | 🔀 14 forks

リポジトリを見る →

3. kayba-ai/recursive-improve

🪞 Make your agents recursively self-improve

⭐ 117 stars | 🔀 8 forks

リポジトリを見る →

4. kreuzberg-dev/liter-llm

Universal LLM API client — 142+ providers, 11 native language bindings, powered by Rust core

⭐ 90 stars | 🔀 5 forks

リポジトリを見る →

5. TensorCEO/TensorCEO

计算机毕业设计、机器学习毕业设计、深度学习毕业设计、原创AI项目【源码+论文】

⭐ 58 stars | 🔀 4 forks

リポジトリを見る →

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