IEEE Internet ComputingPub Date : 2019-03-01Epub Date: 2019-04-26DOI: 10.1109/MIC.2018.2889231
Amit Sheth, Hong Yung Yip, Arun Iyengar, Paul Tepper
{"title":"Cognitive Services and Intelligent Chatbots: Current Perspectives and Special Issue Introduction.","authors":"Amit Sheth, Hong Yung Yip, Arun Iyengar, Paul Tepper","doi":"10.1109/MIC.2018.2889231","DOIUrl":"https://doi.org/10.1109/MIC.2018.2889231","url":null,"abstract":"During this decade, artificial intelligence (AI) has established itself as a phenomenon in our daily life. It is one of the most important investment priorities and has been at the forefront of recent technological disruptions. New boundaries are being pushed daily, ranging from winning against the world’s best Go player to selfdriving and autopilot capabilities Startups and tech giants continue to forge ahead in applying AI in diverse domains spanning speech recognition, image classification, recommendation systems, and internet search. Colloquially, AI can be loosely described as a machine mimicking cognitive abilities that humans exhibit fundamentally such as learning and problem solving.","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"23 2","pages":"6-12"},"PeriodicalIF":3.2,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/MIC.2018.2889231","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25500607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IEEE Internet ComputingPub Date : 2018-03-01Epub Date: 2018-01-16DOI: 10.1109/MIC.2018.112102542
Feng Chen, Xiaoqian Jiang, Shuang Wang, Lisa M Schilling, Daniella Meeker, Toan Ong, Michael E Matheny, Jason N Doctor, Lucila Ohno-Machado, Jaideep Vaidya
{"title":"Perfectly Secure and Efficient Two-Party Electronic-Health-Record Linkage.","authors":"Feng Chen, Xiaoqian Jiang, Shuang Wang, Lisa M Schilling, Daniella Meeker, Toan Ong, Michael E Matheny, Jason N Doctor, Lucila Ohno-Machado, Jaideep Vaidya","doi":"10.1109/MIC.2018.112102542","DOIUrl":"10.1109/MIC.2018.112102542","url":null,"abstract":"<p><p>Patient health data are often found spread across various sources. However, precision medicine and personalized care requires access to the complete medical records. The first step towards this is to enable the linkage of health records spread across different sites. Existing record linkage solutions assume that data is centralized with no privacy/security concerns restricting sharing. However, that is often untrue. Therefore, we design and implement a portable method for privacy-preserving record linkage based on garbled circuits to accurately and securely match records. We also develop a novel approximate matching mechanism that significantly improves efficiency.</p>","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"22 2","pages":"32-41"},"PeriodicalIF":3.2,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983039/pdf/nihms921192.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36192002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The AppScale Cloud Platform: Enabling Portable, Scalable Web Application Deployment.","authors":"Chandra Krintz","doi":"10.1109/MIC.2013.38","DOIUrl":"https://doi.org/10.1109/MIC.2013.38","url":null,"abstract":"<p><p>AppScale is an open source distributed software system that implements a cloud platform as a service (PaaS). AppScale makes cloud applications easy to deploy and scale over disparate cloud fabrics, implementing a set of APIs and architecture that also makes apps portable across the services they employ. AppScale is API-compatible with Google App Engine (GAE) and thus executes GAE applications on-premise or over other cloud infrastructures, without modification.</p>","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"17 2","pages":"72-75"},"PeriodicalIF":3.2,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/MIC.2013.38","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31558230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}