Current students

If you have trouble figuring out if an image of a person is real or if it’s been generated using artificial intelligence, you’re not alone.

A new study conducted by Cheriton School of Computer Science researchers found that people had more difficulty than expected distinguishing who is a real person and who is artificially generated.

The study saw 260 participants provided with 20 unlabeled pictures: 10 of which were of real people obtained from Google searches, and the other 10 generated by Stable Diffusion or DALL-E, two commonly used AI programs that generate images.

Please note: This PhD seminar will take place in DC 2310.

Blake VanBerlo, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Jesse Hoey, Alexander Wong

Please note: This seminar will take place in DC 1304.

Reto Achermann, Postdoctoral Research Fellow, Systopia Lab 
Department of Computer Science, University of British Columbia

Tuesday, March 12, 2024 3:00 pm - 4:00 pm EDT (GMT -04:00)

DSG Seminar Series • GPU Databases — The New Modality of Data Analytics

Please note: This seminar will take place online.

Xiangyao Yu, Assistant Professor
Computer Sciences Department, University of Wisconsin-Madison

The performance gap between GPUs and CPUs has been widening over years as the hardware improves. Existing GPU databases demonstrate good performance, but suffer from limited GPU memory capacity and PCIe bandwidth, thereby failing to scale to large datasets. We conduct a series of projects to address these challenges, paving the way for wider GPU database adoption.

Please note: This PhD defence will take place in DC 2314 and online.

Andrew Na, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Justin Wan