Inside the Computer Society
Upcoming Conferences
The 6th International Conference on Big Data, Cloud Computing, and Data Science (BCD 2021) brings together researchers, scientists, engineers, industry practitioners, and students to discuss, encourage and exchange new ideas, research results, and experiences on all aspects of Big Data, Cloud Comput...
Beijing, China
15-17
Jun
IPDPS is an international forum for engineers and scientists from around the world to present their latest research findings in all aspects of parallel computation. In addition to technical sessions of submitted paper presentations, the meeting offers workshops, tutorials, and commercial presentatio...
Portland, Oregon, USA
17-21
May
ICSE is the premier software engineering conference, providing a forum for researchers, practitioners, and educators to discuss the most recent innovations, trends, experiences, and concerns in the field of software engineering.
Virtual Conference
22-30
May
Trending from the Computer Society Digital Library
IEEE Security & Privacy
Bulent Yener
Computer Science, Renssellaer Polytechnic Institute, Troy, New York United States
The ever-increasing volume, variety, and velocity of threats dictates a big data problem in cybersecurity and necessitates deployment of AI and machine-learning (ML) algorithms. The limitations and vulnerabilities of AI/ML systems, combined with complexity of data, introduce a new adversarial model,...
IEEE Software
Lucas Gren
Software Engineering, Chalmers University of Technology, Gothenburg, Sweden
Research has shown that the maturity of small workgroups, from a psychological perspective, is intimately connected to team agility. This study showed a perceived positive effect of training agile teams in group developmental psychology. We therefore see huge potential in training agile teams in thi...
IEEE Transactions on Pattern Analysis and Machine Intelligence
Yang Zhang
Department of Computer Science, University of Central Florida, Orlando, FL, USA
During the last half decade, convolutional neural networks (CNNs) have triumphed over semantic segmentation, which is one of the core tasks in many applications such as autonomous driving and augmented reality. However, to train CNNs requires a considerable amount of data, which is difficult to coll...