2024 年10月，在信息检索和数据挖掘的国际学术会议CIKM (International Conference on Information and Knowledge Management) 上，京东探索研究院院长、京东科技人工智能业务负责人何晓冬博士发表的研究成果DSSM模型（基于点击数据学习用于网络搜索的深度结构化语义模型：Learning ...

However, the observational data in the multi-agent systems are typically voluminous and redundant and pose substantial challenges to the communication system when transmitted directly. To address this ...

Learn More Researchers at Archetype AI have developed a foundational AI model capable of learning complex physics principles directly from sensor data, without any pre-programmed knowledge.

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

Whether you’re refining data models or performing sophisticated analyses, this guide will be your stepping stone to mastering Power BI’s advanced features. You’ll discover the magic of DAX ...

Galileo cofounders Yash Sheth, Vikram Chatterji and Atindriyo Sanyal (left to right). Thanks to the popularity of ChatGPT, companies everywhere are injecting generative AI into their products.

Annotations, usually text labeling the meaning or parts of the data these systems ingest, are a key piece in these examples. They serve as guideposts, “teaching” a model to distinguish among ...

The framework is amenable to deep learning applications via the principles of semantic data models, linked open data, and knowledge organization systems. The ideas are presented to stimulate further ...

This work introduces Data-free Few-shot Semantic Segmentation (DFSS), a task that requires limited labeled images and forgoes the need for extensive base data, allowing for comprehensive image ...