麻豆传媒

 

Our Stories

Big Data Analytics & Machine Learning in the Faculty of Computer Science

Andrea Hart  –  Big Data & Machine Learning
Monday, July 10, 2023
As the digital landscape continues to thrive, the Big Data Alliance of Nova Scotia (BDANS) has recognized its time to gracefully bow out - leaving 麻豆传媒's Faculty of Computer Science with a $50,000 gift.
Andrea Hart  –  Research, Systems, Networks, Security, Faculty, Innovation, HCI, Visualization, Graphics, Big Data & Machine Learning
Monday, January 23, 2023
As we kick off the new year, we鈥檙e thrilled to welcome our newest faculty members, bringing a wealth of knowledge and experience for a successful year ahead.
Alison Auld  –  Research, Faculty, Big Data & Machine Learning
Wednesday, January 18, 2023
The guttural grunts, burbles and high-pitched squeals coming from under the waves now part of a digital library that could help researchers understand fish behaviours.
Kim Humes  –  Research, Faculty, Graduate, Big Data & Machine Learning
Monday, December 5, 2022
Canadians will continue to feel the effects of high food inflation and insecurity next year, with widely watched national report predicting a 5% to 7% increase in prices.
Becca Rawcliffe  –  Research, Faculty, Graduate, Big Data & Machine Learning, Students
Wednesday, July 6, 2022
The Wellbeing Mapping Tool, developed by 麻豆传媒 researchers in collaboration with non-profit organization Engage Nova Scotia, provides a simple and interactive way for for anyone to identify trends and insights into quality of life across the province.
Alison Auld  –  Research, Faculty, Big Data & Machine Learning
Friday, June 3, 2022
Confusion, word-finding difficulties, memory lapses, dizziness, an inability to focus: a growing cohort of COVID-19 survivors find themselves burdened by a strange array of cognitive impairments, and Dal researchers are looking to shed some light on the phenomenon.
Philip Moscovitch  –  Here We Code, Outreach, Alumni & Friends, Research, Bioinformatics & Algorithms, Faculty, Big Data & Machine Learning
Wednesday, April 6, 2022
The April 12 Open Dialogue Live event 鈥淒ata and its Impact on Health鈥 will examine how data from the COVID-19 pandemic can be used to influence public policy and potentially mitigate risks should another pandemic occur.
Andrew Riley  –  Research, Faculty, Awards, Big Data & Machine Learning
Monday, April 4, 2022
Going boldly: Five Dal scholars receive $1.1 million to move in ambitious new research directions
Andrew Riley  –  Research, Faculty, Awards, Big Data & Machine Learning
Thursday, January 13, 2022
Federal announcement adds four more leading academics to the university鈥檚 faculty.
Jee In Kim  –  Graduate, Here We Code, Women in Tech, Students, Research, Bioinformatics & Algorithms, Big Data & Machine Learning
Wednesday, October 20, 2021
Interdisciplinary PhD student, Jee In Kim's research explores how artificial intelligence and machine learning can help to combat antimicrobial resistance, which is when bacteria no longer responds to antibiotics