Recent advances in deep learning for image recognition have spawned numerous challenge-based learning competitions in which participants can use a low-cost GPU graphics card to accomplish goals that required expensive resources in the recent past. Students are encouraged to explore this exciting new field of research by entering these competitions. Scooter Willis, "Stand on the Shoulders of Giants", Computer, vol.
Penetration testing is a crucial defense against common web application security threats such as SQL injection and cross-site scripting attacks. A proposed web vulnerability scanner automatically generates test data with combinative evasion techniques, significantly expanding test coverage and revealing more vulnerabilities.
Context-aware inference apps have become pervasive as a result of the Internet of Things (IoT). However, most of these apps run continuously on a single device, resulting in limited sensor coverage and high energy consumption. Recent advances in IoT devices, specifically hardware heterogeneity, can be leveraged to improve the accuracy and energy efficiency of context inferences.
Natural language processing and machine learning can be applied to student feedback to help university administrators and teachers address problematic areas in teaching and learning. The proposed system analyzes student comments from both course surveys and online sources to identify sentiment polarity, the emotions expressed, and satisfaction versus dissatisfaction. A comparison with direct-assessment results demonstrates the system's reliability.