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.
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.
Research, Faculty, HCI, Visualization, Graphics, Women in Tech, Big Data & Machine Learning
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.
With equipment funded by the Canada Foundation for Innovation, Dal's Rita Orji explores the dynamic field of persuasive technology, developing interactive digital systems that motivate healthy behaviours.
Learn more about the Dal scholars named this week as part of the newest cohort of the Canada Research Chairs program, which provides opportunities for researchers to excel in their fields and build teams of experts.
Research, Innovation, Faculty, Big Data & Machine Learning, Graduate
Wednesday, December 2, 2020
Using AI and machine learning to mimic the behaviour of the likes of Cristiano Ronaldo and Lionel Messi, a team of researchers from the Institute for Big Data Analytics at Dalhousie were recently named as runners up in 2020’s largest international AI soccer simulation competition, RoboCup Japan Open.
Co-chaired by dean of the Faculty of Computer Science, Dr. Andrew Rau-Chaplin and Dr. Stan Matwin, the "Learn and Work" report, which examines how Nova Scotia can invest in communications technology to support a diverse, digital-ready workforce and make data accessible to decision makers.
Research, Faculty, Graduate, Bioinformatics & Algorithms, Big Data & Machine Learning
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.