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Info Unrelated microbes in extreme environments have similar genomic signatures
Machine learning reveals new dimension of the genome
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DAVID R. CHERITON SCHOOL OF COMPUTER SCIENCE
The Cheriton School of Computer Science is named for David R. Cheriton, who
earned his PhD in Computer Science in 1978, and made a transformational gift to
the school in 2005. It has become the largest academic concentration of Computer
Science researchers in Canada.
Discover our latest achievements by following our news and events.
Please go to contact, open positions or visit if you have a question about
school programs or services, would like to know more about faculty positions
available or plan to visit our school.
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Faculty of Mathematics
NEWS
EVENTS
NEWS
1. Jan. 9, 2024Microbial organisms living in extreme environments have similar
genomic signatures even though they are unrelated
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.
2. Dec. 21, 2023For milk pasteurization start-up Safi, 2023 changed everything
For Safi, a milk pasteurization start-up, 2023 was the year their dreams
became reality.
3. Dec. 20, 2023Cheriton researchers find that large language models validate
misinformation
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.
Read all news
EVENTS
1. Jan. 12, 2024PhD Defence • Machine Learning | Quantitative Finance • A
General Neural Network Methodology for Multi-period Portfolio Optimization
Please note: This PhD defence will take place in DC 3317 and online.
Chendi Ni, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Yuying Li, Peter Forsyth
2. Jan. 12, 2024Master’s Research Paper Presentation • Software Engineering •
GIT-PIR: Private Cloning Protocol for Remote Git Repositories
Please note: This master’s research paper presentation will take place
online.
Muhammad Arsalan Khan, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Shane McIntosh
3. Jan. 12, 2024PhD Seminar • Artificial Intelligence • Learning Voting Rules
Using Neural Networks
Please note: This PhD seminar will take place online.
Ben Armstrong, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Kate Larson
We present our work using machine learning models to approximate social
choice functions, a.k.a. methods of voting. Voting rules are functions that
are given voter preferences and produce a winning candidate.
All upcoming events
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David R. Cheriton School of Computer Science
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