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
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.
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.
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.