News for Future students

Thursday, January 18, 2024

Cheriton School of Computer Science students receive 2024 CRA Outstanding Undergraduate Researcher Awards

composite photo of Matthew Yang, Ruidi Wei, Jiawen Zhu, Alex Zhuang

Four students at the Cheriton School of Computer Science are recipients of the Computing Research Association’s 2024 Outstanding Undergraduate Researcher Awards. The annual CRA awards program recognizes students from universities across North America who have distinguished themselves by conducting exceptional computer science research as undergrads.

This year, Matthew Yang was a finalist, and Ruidi Wei, Jiawen Zhu and Alex Zhuang each received honourable mentions for their research.

Wednesday, January 17, 2024

Daniel Vogel named 2023 ACM Distinguished Member

photo of Professor Daniel Vogel

The Association for Computing Machinery has named Professor Daniel Vogel a Distinguished Member for his fundamental contributions to human-computer interaction and applications of novel forms of interaction. He is among 52 individuals recognized internationally by ACM for their outstanding scientific contributions to computing.

Tuesday, January 9, 2024

Microbial organisms living in extreme environments have similar genomic signatures even though they are unrelated

photo of Professor Lila Kari, PhD student Pablo Millán Arias

Extremophiles are species that are adapted to live at the edges of biological tolerance, in a range of environments that seem inhospitable to life by human standards. These extremely hardy organisms are found in all three domains and all six kingdoms of life, the highest and second highest levels of classification biologists use to categorize living things based on common ancestry.

Thursday, December 21, 2023

For milk pasteurization start-up Safi, 2023 changed everything

photo of Miraal Kabir, Martin Turuta and local dairy farmers

For Safi, a milk pasteurization start-up, 2023 was the year their dreams became reality.

Wednesday, December 20, 2023

Cheriton researchers find that large language models validate misinformation

photo of CS professor Dan Brown in the Davis Centre

New research into large language models shows that they repeat conspiracy theories, harmful stereotypes, and other forms of misinformation.

In a recent study, researchers at the Cheriton School of Computer Science systematically tested an early version of ChatGPT’s understanding of statements in six categories: facts, conspiracies, controversies, misconceptions, stereotypes, and fiction. This was part of the researchers’ efforts to investigate human-technology interactions and explore how to mitigate risks.

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