1. Feigenbaum and DENDRAL Feigenbaum entered Carnegie Institute of Technology (the predecessor of Carnegie Mellon) to study Electrical Engineering (EE) when he was only 16 years old. In his junior year, a course on “Mathematical Models in Social Science” set the course for his life, taught by Simon Haykin. After graduating, he stayed on to … Read more
Editor’s Note Excellent teaching aims to promote the transformation of teaching and learning, striving to make students the main body of learning. Sun Yat-sen University actively explores methods such as “large lecture + small seminar”, “freshman seminar”, and “flipped classroom”, implementing small class teaching, advancing educational digitization, emphasizing guidance for students’ learning, and increasing interaction … Read more
Due to historical reasons, the characteristics of medical information systems vary among different vendors, and patient information is stored in different internal systems. To use data scattered across various systems, effective governance of the data is required to extract and combine data for the same patient and the same visit into a comprehensive view of … Read more
Why Do We Need Knowledge Graphs? What Is a Knowledge Graph? The order of the title may be somewhat unfamiliar to some readers. Typically, when introducing an unfamiliar concept, we provide its definition first. The reason for changing the order is to avoid presenting readers with a cold and rigid conceptual description at the outset … Read more
A knowledge graph is a large and complex project that involves knowledge from various disciplines such as knowledge engineering, natural language processing, databases, and machine learning. It is applied in various industries including social networks, human resources and recruitment, finance, insurance, retail, advertising, logistics, telecommunications, IT, and manufacturing, among others. Compared to traditional data storage … Read more
💡 Paper Title: Knowledge Graph Enhanced Large Language Model Editing, ACL Findings, 2024 🔗 Paper Link: https://arxiv.org/abs/2402.13593 Background and Motivation Large language models excel in various tasks due to their powerful generative capabilities and the rich knowledge they contain. However, issues such as outdated knowledge and factual errors may exist within these models, limiting their … Read more
Artificial intelligence is becoming commonplace. In the medical field, doctors are increasingly recognizing the improvements in disease diagnosis efficiency and treatment value brought by artificial intelligence. To realize medical AI, it is necessary to build medical knowledge graphs to meet the application needs of knowledge in the medical field. ◆ ◆ ◆ What is a … Read more
The technical implementation of knowledge graphs is not complicated, but constructing them for courses is not an easy task.Today, I will share insights and ideas from Associate Professor Cao Dianbo of Yan’an University on building knowledge graphs. This article aims to provide a comprehensive interpretation of knowledge graphs from a technical perspective, hoping to assist … Read more
Follow us丨Free book giveaway at the end 1 Do you know what the core driving force of artificial intelligence is? The scale and speed of data and information generation today make it difficult for organizations to effectively gain valuable insights from a vast amount of information and different sources. We rely on Google, Amazon, Alexa, … Read more
Urban Knowledge Graph Products and Their Applications Shenzhou Holdings Cheng Weiqi 1. The Development of Smart Cities Requires New Tools With the development of technologies such as the Internet of Things, cloud computing, and big data, the construction of smart cities has gradually improved from perceptual intelligence to cognitive intelligence. With the application of technologies … Read more