Computers and algorithms don’t think, but they do reduce cognitive load for humans. This webinar answers the question of how this is possible and what powers them to do so. Thursday, 27 January at 11:00 AM (EST)
Inside the Computer Society
Content Analysis (from contents to semantics) structured data image and video audio and speech user-generated content big data natural language deep learning Description and Integration (of data and services) semantics description languages ontology integration interoperability Use of Semant...
Laguna Hills, California, USA
Software architecture research and practice
Honolulu, Hawaii, USA
State of the Art Research and Applications in Virtual Reality and 3D User Interfaces
Christchurch, New Zealand
Trending from the Computer Society Digital Library
IEEE Security & Privacy
Samuel T. King
Most apps and merchants do not want to deal with financial fraud, but, if they accept payments, they will eventually have to. Our position is that credit card fraud prevention is a technical problem that needs technical solutions.
Computer Science, Universite de Paris, Paris, 75013, France
We study the gender of commits authors over 120 million projects and a period of 50 years. Commits by female authors remain low overall but are growing steadily, providing hope of a more gender-balanced future for collaborative software development.
IEEE Transactions on Pattern Analysis and Machine Intelligence
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...