📝 この記事のポイント
- 🚀 AI技術の最新動向 – 2026年3月31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 dreddnafious/thereisnospoon kayba-ai/recursive-improve kreuzberg-dev/liter-llm TensorCEO/TensorCEO OnlyTerp/turboquant 📌 関連記事もチェック 📚 最新研究論文 1. Geometry-aware similarity metrics for neural representations on Riemannian and statistical manifolds 著者: N Alex Cayco Gajic, Arthur Pellegrino Similarity measures are widely used to interpret the representational geometries used by neural networks to solve tasks. Yet, because existing methods compare the extrinsic geometry of representations in state space, rather than their intrinsic geometry, they may fail to capture subtle yet crucial d… 論文を読む → 2. On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers 著者: Omer Dahary, Benaya Koren, Daniel Garibi Modern Text-to-Image (T2I) diffusion models have achieved remarkable semantic alignment, yet they often suffer from a significant lack of variety, converging on a narrow set of visual solutions for any given prompt. This typicality bias presents a challenge for creative applications that require a w… 論文を読む → 3. Temporal Credit Is Free 著者: Aur Shalev Merin Recurrent networks do not need Jacobian propagation to adapt online. The hidden state already carries temporal credit through the forward pass; immediate derivatives suffice if you stop corrupting them with stale trace memory and normalize gradient scales across parameter groups. An architectural ru… 論文を読む → 💻 注目のGitHubプロジェクト 1. 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. ⭐ 389 stars | 🔀 21 forks リポジトリを見る → 2. kayba-ai/recursive-improve 🪞 Make your agents recursively self-improve ⭐ 141 stars | 🔀 10 forks リポジトリを見る → 3. kreuzberg-dev/liter-llm Universal LLM API client — 142+ providers, 11 native language bindings, powered by Rust core ⭐ 102 stars | 🔀 6 forks リポジトリを見る → 4. 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】 ⭐ 77 stars | 🔀 8 forks リポジトリを見る → 5. OnlyTerp/turboquant First open-source implementation of Google TurboQuant (ICLR 2026) — near-optimal KV cache compression for LLM inference. 5x compression with near-zero quality loss. ⭐ 50 stars | 🔀 5 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3月31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
- dreddnafious/thereisnospoon
- kayba-ai/recursive-improve
- kreuzberg-dev/liter-llm
- TensorCEO/TensorCEO
- OnlyTerp/turboquant
- 📌 関連記事もチェック
📚 最新研究論文
1. Geometry-aware similarity metrics for neural representations on Riemannian and statistical manifolds
著者: N Alex Cayco Gajic, Arthur Pellegrino
Similarity measures are widely used to interpret the representational geometries used by neural networks to solve tasks. Yet, because existing methods compare the extrinsic geometry of representations in state space, rather than their intrinsic geometry, they may fail to capture subtle yet crucial d…
2. On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers
著者: Omer Dahary, Benaya Koren, Daniel Garibi
Modern Text-to-Image (T2I) diffusion models have achieved remarkable semantic alignment, yet they often suffer from a significant lack of variety, converging on a narrow set of visual solutions for any given prompt. This typicality bias presents a challenge for creative applications that require a w…
3. Temporal Credit Is Free
著者: Aur Shalev Merin
Recurrent networks do not need Jacobian propagation to adapt online. The hidden state already carries temporal credit through the forward pass; immediate derivatives suffice if you stop corrupting them with stale trace memory and normalize gradient scales across parameter groups. An architectural ru…
💻 注目のGitHubプロジェクト
1. 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.
⭐ 389 stars | 🔀 21 forks
2. kayba-ai/recursive-improve
🪞 Make your agents recursively self-improve
⭐ 141 stars | 🔀 10 forks
3. kreuzberg-dev/liter-llm
Universal LLM API client — 142+ providers, 11 native language bindings, powered by Rust core
⭐ 102 stars | 🔀 6 forks
5. OnlyTerp/turboquant
First open-source implementation of Google TurboQuant (ICLR 2026) — near-optimal KV cache compression for LLM inference. 5x compression with near-zero quality loss.
⭐ 50 stars | 🔀 5 forks
📚 あわせて読みたい
