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Monday, June 28, 2021
The victory marked the first time a Canadian team has ever won the competition, which is the largest artificial intelligence (AI) soccer simulation in the world.
Michele Charlton  –  Research, Faculty, Awards, Big Data & Machine Learning
Monday, June 7, 2021
Five Dal researchers have received a $750,000 investment from the Government of Canada to advance their innovative ideas.
Tuesday, May 11, 2021
Researchers at Dalhousie and Penn State have used artificial intelligence to unravel the sentiments in nursing mothers’ tweets to better understand the factors influencing breastfeeding behaviors.
Stacey Pineau (with files from Becca Rawcliffe)  –  Research, Faculty, Graduate, Innovation, Big Data & Machine Learning
Wednesday, March 24, 2021
Computer scientists with Dalhousie's DeepSense team are helping make marine environmental monitoring for tidal-energy projects easier, more reliable and more effective by creating custom applications for use by researchers and developers.
Michele Charlton  –  Research, Faculty, Big Data & Machine Learning
Monday, March 8, 2021
Using AI to understand ocean trends, plotting breakthroughs in solar-energy storage, and slashing exposures to cancer-causing substances: Learn more about some of the exceptional Dal-led projects to receive funding this week from the Canada Foundation for Innovation.
Tuesday, March 2, 2021
New research from Dalhousie is using artificial intelligence to analyze the public emotions expressed through millions of tweets across the globe and identify trends that could make a significant impact in this area.
Tuesday, October 20, 2020
Researchers at Dalhousie and ocean data analytics innovation environment DeepSense have developed a machine learning method for predicting wind speed and wave height measurement — research with direct impact on managing safety in the Halifax Harbour.
Becca Rawcliffe  –  Research, Big Data & Machine Learning, Students
Monday, September 21, 2020
Faculty of Computer Science-based ocean data innovation environment DeepSense has supported 9 ocean companies in a project launched as a response to COVID-19.
Wednesday, May 20, 2020
As Nick Meade (BCS'20) graduates he has landed a spot at one of the world's leading artificial intelligence research institutes.
Thursday, April 30, 2020
New smartphone apps being developed could help track and trace where people with the virus have been and alert others who might be at risk of coming into contact with it. But Stan Matwin, director of Dal's Institute for Big Data Analytics, says decision-makers must grapple with how to make these programs both effective and respectful of people’s privacy.
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