Abstract: In recent years, cognitive load overload has become an important factor affecting the effectiveness of online learning. To address this issue, the article focuses on the assessment of cognitive load in online learning, first designing a research framework for online learning cognitive load assessment based on multimodal data, which includes three parts: multimodal data … Read more
On August 26, 2024, Professor Shen Lin’s team from Peking University Cancer Hospital and Professor Dong Bin’s team from Peking University published a groundbreaking research article titled “Predicting gastric cancer response to anti-HER2 therapy or anti-HER2 combined immunotherapy based on multi-modal data” in the journal Signal Transduction and Targeted Therapy (Impact Factor: 40.8). This study … Read more
Source: Data Analysis and Applications 1 Introduction Our experience of the world is multimodal — we see objects, hear sounds, feel textures, smell odors, and taste flavors. A modality refers to the way something occurs or is experienced; when a research question involves multiple modalities, it has multimodal characteristics. For artificial intelligence to make progress … Read more
Reprinted from Zhejiang Digital Economy Research Institute Introduction This article is a compilation of the speech by Academician Shen Xiangyang, the founding director of the Guangdong-Hong Kong-Macao Greater Bay Area Digital Economy Research Institute, on September 28, themed “How Should We Think About Large Models in the Era of General Artificial Intelligence?” In his sharing, … Read more