大模型过去一直在模仿 System Two，试图把所有问题都变成深思熟虑的长篇大论。Jev 给 LLM 补齐高速、轻量、只凭直觉做判断的 System OneLLM对话能力上超越人类，但大规模自动化应用迟迟没有普及因为LLM ...

MIT 教授 Philip Isola 提出"机器人使用智能体"概念后，Waddle Labs 与 RoboCurve 的创始人在 Y Combinator 的 Decoded 节目中深入拆解了其背后的研究路径——从 RT2 的 VLA 架构局限，到 ...

Moonshot AI 的 Kimi K3 是一种开放权重模型，开发者称其为首个参数规模达到 2.8 万亿的开放模型，于 2026 年 9 月 18 日在 Amazon Bedrock 上线，为编码和知识工作提供了新的选择。 亚马逊网络服务在 AWS Machine Learning Blog 上宣布了此项发布。Moonshot AI 表示，Kimi K3 是其最强大的模型，结合了原生视觉能力和 ...

Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard remote-sensing indices,and a gradient boosting ...

New AI research helps hunters zero in on the pythons doing the most damage in Florida's Everglades.

This course examines the principles and practical applications of active machine learning using Python, focusing on strategies to improve model performance with reduced data requirements. Learners ...

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Moxank Patel, Machine Learning Engineer at Meta, has worked across machine learning, information retrieval, NLP, computer vision, backend engineering and produc ...

A bibliometric and LDA topic modeling study of 18,625 open access AI papers reveals India's explosive research growth since 2018 and a decisive shift toward deep learning and healthcare ...

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In January 2025, when I thought about challenging myself with the Statistics Grade Pre-1 exam, this is what I was thinking.

Machine-Learning-with-Python The "Machine Learning with Python" course equips learners with essential skills to build and evaluate machine learning models using Python and scikit-learn.