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- 🚀 AI技術の最新動向 – 2026年2月3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 PACKIARAJ-R/ML-Image-Classification-using-CNN jmbarrancoml/awesome-european-ai berrzebb/zeroquant sainimal1ba-hue/AI-Powered-Sensory-Overload-Prevention-for-Autism phydra-labs/phydrax 📌 関連記事もチェック 📚 最新研究論文 1. Reward-free Alignment for Conflicting Objectives 著者: Peter Chen, Xiaopeng Li, Xi Chen Direct alignment methods are increasingly used to align large language models (LLMs) with human preferences. However, many real-world alignment problems involve multiple conflicting objectives, where naive aggregation of preferences can lead to unstable training and poor trade-offs. In particular, w… 論文を読む → 2. MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training 著者: Dulhan Jayalath, Oiwi Parker Jones Clinical brain-to-text interfaces are designed for paralysed patients who cannot provide extensive training recordings. Pre-training improves data-efficient generalisation by learning statistical priors across subjects, but these priors critically depend on context. While natural speech might unfold… 論文を読む → 3. PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss 著者: Zehong Ma, Ruihan Xu, Shiliang Zhang Pixel diffusion generates images directly in pixel space in an end-to-end manner, avoiding the artifacts and bottlenecks introduced by VAEs in two-stage latent diffusion. However, it is challenging to optimize high-dimensional pixel manifolds that contain many perceptually irrelevant signals, leavin… 論文を読む → 💻 注目のGitHubプロジェクト 1. PACKIARAJ-R/ML-Image-Classification-using-CNN Built a CNN-based image classification system with data preprocessing, model training, evaluation, and result visualization using accuracy curves and confusion matrix for reliable image recognition. ⭐ 24 stars | 🔀 0 forks リポジトリを見る → 2. jmbarrancoml/awesome-european-ai A curated list of European AI companies, research labs, open source projects, and resources ⭐ 9 stars | 🔀 0 forks リポジトリを見る → 3. berrzebb/zeroquant Rust 기반 고성능 자동화 트레이딩 시스템 ⭐ 7 stars | 🔀 5 forks リポジトリを見る → 4. sainimal1ba-hue/AI-Powered-Sensory-Overload-Prevention-for-Autism This is is an AI-powered hearing-aid companion app that predicts sensory overload in autistic children before meltdowns occur. It analyzes early stress signals, movement, noise, and location to adapt noise cancellation and trigger calming interventions in real time. ⭐ 6 stars | 🔀 0 forks リポジトリを見る → 5. phydra-labs/phydrax Modular Physics-ML Components in JAX ⭐ 6 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2月3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
- PACKIARAJ-R/ML-Image-Classification-using-CNN
- jmbarrancoml/awesome-european-ai
- berrzebb/zeroquant
- sainimal1ba-hue/AI-Powered-Sensory-Overload-Prevention-for-Autism
- phydra-labs/phydrax
- 📌 関連記事もチェック
📚 最新研究論文
1. Reward-free Alignment for Conflicting Objectives
著者: Peter Chen, Xiaopeng Li, Xi Chen
Direct alignment methods are increasingly used to align large language models (LLMs) with human preferences. However, many real-world alignment problems involve multiple conflicting objectives, where naive aggregation of preferences can lead to unstable training and poor trade-offs. In particular, w…
2. MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training
著者: Dulhan Jayalath, Oiwi Parker Jones
Clinical brain-to-text interfaces are designed for paralysed patients who cannot provide extensive training recordings. Pre-training improves data-efficient generalisation by learning statistical priors across subjects, but these priors critically depend on context. While natural speech might unfold…
3. PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss
著者: Zehong Ma, Ruihan Xu, Shiliang Zhang
Pixel diffusion generates images directly in pixel space in an end-to-end manner, avoiding the artifacts and bottlenecks introduced by VAEs in two-stage latent diffusion. However, it is challenging to optimize high-dimensional pixel manifolds that contain many perceptually irrelevant signals, leavin…
💻 注目のGitHubプロジェクト
1. PACKIARAJ-R/ML-Image-Classification-using-CNN
Built a CNN-based image classification system with data preprocessing, model training, evaluation, and result visualization using accuracy curves and confusion matrix for reliable image recognition.
⭐ 24 stars | 🔀 0 forks
2. jmbarrancoml/awesome-european-ai
A curated list of European AI companies, research labs, open source projects, and resources
⭐ 9 stars | 🔀 0 forks
4. sainimal1ba-hue/AI-Powered-Sensory-Overload-Prevention-for-Autism
This is is an AI-powered hearing-aid companion app that predicts sensory overload in autistic children before meltdowns occur. It analyzes early stress signals, movement, noise, and location to adapt noise cancellation and trigger calming interventions in real time.
⭐ 6 stars | 🔀 0 forks
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