Meng Tang, PhD candidate
David R. Cheriton School of Computer Science
GIRLsmarts4tech is an outreach program aimed at inspiring girls to explore technology. During the day-long workshop, girls will learn about various aspects of computer science, including mobile app design and programming, user interfaces, and how computer science applies in other fields and disciplines.
Grades 7 and Grade 8 girls who have no programming experience and who are interested in learning computer science are encouraged to register for this event.
Edward Cheung, PhD candidate
David R. Cheriton School of Computer Science
Ivana Kajić, PhD candidate
David R. Cheriton School of Computer Science
Bryan Muscedere, Master’s candidate
David R. Cheriton School of Computer Science
Kareem El Gebaly, PhD candidate
David R. Cheriton School of Computer Science
Mohammad Zokaei Ashtiani, PhD candidate
David R. Cheriton School of Computer Science
Alex C. Williams, PhD candidate
David R. Cheriton School of Computer Science
Babar Naveed Memon, Master’s candidate
David R. Cheriton School of Computer Science
Remote Direct Memory Access (RDMA) can be used to implement a shared storage abstraction or a shared nothing abstraction for distributed applications. We argue that the shared storage abstraction is an overkill for loosely coupled applications and that the shared nothing abstraction does not leverage all the benefits of RDMA.
Junnan Chen, Master’s candidate
David R. Cheriton School of Computer Science
Conversations depend on information from the context. To go beyond one-round conversation, a chatbot must resolve contextual information such as: 1) co-reference resolution, 2) ellipsis resolution, and 3) conjunctive relationship resolution.
There are simply not enough data to avoid these problems by trying to train a sequence-to-sequence model for multi-round conversation similar to that of one-round conversation.