Cheriton School of Computer Science Professors Charlie Clarke and Gordon Cormack, Management Sciences Professor Olga Vechtomova, along with their former graduate students Maheedhar Kolla, Azin Ashkan, Stefan Büt
Radio frequency identification (RFID) tags, those ribbons of metal with a tiny chip, are found in countless objects. From key fobs and payment cards to library books and inventory in a factory, these embedded inexpensive tags provide a way to uniquely and wirelessly identify objects.
People suffering from the early symptoms of Alzheimer’s disease often have difficulty remembering things that recently happened to them. As the disease takes root, a person’s reasoning and behaviour can change. Day-to-day routines — like handwashing — may become challenging for them and they begin to need more assistance from caregivers for simple tasks.
But now there is technology that can help.
“From my readings, I have stumbled upon your great website, which is … helping me understand the nature of polyhedra. I have a question regarding the structures you have posted on your site. I am not a mathematician; I am a biologist and therefore my question might sound downright naïve. The structure in question is the near-miss Johnson solid …”
Cheriton School of Computer Science Professor Ian Goldberg has been named a tier 1 Canada Research Chair in Privacy Enhancing Technologies.
Researchers at the Cheriton School of Computer Science have developed a strategy that could reduce the level of frustration users experience when giving gesture commands to smart devices and smart environments.
In a study that outlines the new strategy, the researchers found that when developing smart devices to recognize gesture input, the adage, “If at first, you don’t succeed, try, try again,” can be applied to boost users’ perceptions of system reliability.
The following excerpt is from “The quest for high-quality data: Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge,” a blog post written by Cheriton School of Computer Science Professor Ihab Ilyas and Ben Lorica, Chief Data Scientist at O’Reilly Media.
Researchers at the Cheriton School of Computer Science have found that individuals may be more motivated to do work for their favourite charity than for money.
In a study reviewing the efficacy of a new online work-sharing platform designed to put money into the hands of charities, the researchers discovered that people providing their skills and labour toward a specific task tended to do a better job if they knew their favourite charity rather than themselves would be paid for it.
The key to people trusting and co-operating with artificially intelligent agents lies in their ability to display human-like emotions, according to a new study by Postdoctoral Fellow Moojan Ghafurian, Master’s candidate Neil Budnarain and Professor Jesse Hoey at the Cheriton School of Computer Science.