T he IEEE Computer Society's lineup of 13 peer-reviewed technical magazines covers cutting-edge topics ranging from software design and computer graphics to Internet computing and security, from scientifi c applications and machine intelligence to cloud migration and microchip manufacturing. Here are highlights from recent issues. Computer Human-augmentation technologies can help users enhance existing abilities and give them some they lack. These technologies are the focus of Computer's February 2017 special issue. IEEE Security & Privacy Considerable work is taking place on the interface between cryptography practice and theory. The articles in IEEE S&P's November/December 2016 special issue show that real-world cryptography no longer focuses Magazine Roundup www.computer.org/computingedge 5 only on the traditional aspects of communications security. The articles also demonstrate that practitioners are concerned about cryptography's societal impacts and underlying social constructs. IEEE Cloud Computing IEEE Cloud Computing's November/December 2016 special issue addresses the use of cloud computing for enhancing living environments. IEEE Computer Graphics and Applications CG&A's January/February 2017 special issue on water, sky, and the human element includes articles on a natural interface for underwater robots' remote operation, a decision-support application for a sustainable water-distribution system, the real-time visual tracking of deformable objects in robot-assisted surgery, and a machine-learningdriven sky-illumination model. IEEE Intelligent Systems "On Searching the Internet of Things: Requirements and Challenges," from IEEE Intelligent Systems' November/December 2016 issue, describes some of the requirements of and key challenges to building scalable and effi cient search and discovery mechanisms for the Internet of Things. IEEE MultiMedia According to the authors of "A Neural Network for Quality of Experience Estimation in Mobile Communications," from IEEE MultiMedia's October-December 2016 issue, we need a new way to express multimedia-service users' satisfaction: quality of experience (QoE). They consider key performance indicators (KPIs) and propose using neural networks to automatically classify these KPIs in terms of QoE.