A normative framework for artificial intelligence as a sociotechnical system in healthcare [0.03%]
医疗保健中作为社会技术系统的AI伦理规范框架研究
Melissa D McCradden,Shalmali Joshi,James A Anderson et al.
Melissa D McCradden et al.
Artificial intelligence (AI) tools are of great interest to healthcare organizations for their potential to improve patient care, yet their translation into clinical settings remains inconsistent. One of the reasons for this gap is that goo...
Francis J Alexander,Meifeng Lin,Xiaoning Qian et al.
Francis J Alexander et al.
Bruno Casella,Walter Riviera,Marco Aldinucci et al.
Bruno Casella et al.
Driven by the deep learning (DL) revolution, artificial intelligence (AI) has become a fundamental tool for many biomedical tasks, including analyzing and classifying diagnostic images. Imaging, however, is not the only source of informatio...
Yong Chen,Xiqun Michael Chen,Ziyou Gao
Yong Chen
In their recent publication in Patterns, the authors proposed a novel multi-scale unified mobility model to capture the universal-scale laws of individual and population movement within urban agglomerations. This People of Data highlights t...
Brandeis Marshall
Brandeis Marshall
As AI technologies grow to encompass more human-like generative capabilities, discussions have begun regarding how and when AIs may merit moral consideration or even civil rights. Brandeis Marshall argues that these discussions are prematur...
Meet the authors: Nicholas Kluge Corrêa and Camila Trindade Galvão [0.03%]
作者见面会：Nicholas Kluge Corrêa和Camila Trindade Galvão
Nicholas Kluge Corrêa,Camila Trindade Galvão,James William Santos
Nicholas Kluge Corrêa
Our paper, "Worldwide AI Ethics", constitutes a meta-analysis of AI guidelines conducted by the AI Ethics Robotics Society, a non-profit organization dedicated to promoting awareness and conducting research on ethical inquiries concerning i...
Accurate, interpretable predictions of materials properties within transformer language models [0.03%]
基于变压器语言模型的材料属性的准确、可解释预测方法
Vadim Korolev,Pavel Protsenko
Vadim Korolev
Property prediction accuracy has long been a key parameter of machine learning in materials informatics. Accordingly, advanced models showing state-of-the-art performance turn into highly parameterized black boxes missing interpretability. ...
EasyGraph: A multifunctional, cross-platform, and effective library for interdisciplinary network analysis [0.03%]
EasyGraph：一种多功能、跨平台且高效的学科交叉网络分析工具库
Min Gao,Zheng Li,Ruichen Li et al.
Min Gao et al.
Networks are powerful tools for representing the relationships and interactions between entities in various disciplines. However, existing network analysis tools and packages either lack powerful functionality or are not scalable for large ...
Bodily expressed emotion understanding through integrating Laban movement analysis [0.03%]
基于Laban动作分析的情感识别方法研究
Chenyan Wu,Dolzodmaa Davaasuren,Tal Shafir et al.
Chenyan Wu et al.
Bodily expressed emotion understanding (BEEU) aims to automatically recognize human emotional expressions from body movements. Psychological research has demonstrated that people often move using specific motor elements to convey emotions. ...
Evolutionary characteristics of global offshore carbon emissions network and responsibility allocation of emissions reduction [0.03%]
全球海上碳排放网络演化特征及减排责任分配
Bo Lu,Yue Sun,Lijie Fan et al.
Bo Lu et al.
Offshore carbon emissions from the international shipping trade are significant contributors to climate change. Based on the complex shipping trade networks, offshore carbon emissions are correlated rather than independent, and allocating r...