Researchers have developed a new way to improve our knowledge of the Big Bang by measuring radiation from its afterglow, called the cosmic microwave background radiation. The new results predict the maximum bandwidth of the universe, which is the maximum speed at which any change can occur in the universe.
The cosmic microwave background (CMB) is a reverberation or afterglow left from when the universe was about 300,000 years old. It was first discovered in 1964 as a ubiquitous faint noise in radio antennas.
Anita Layton has been named Canada 150 Research Chair, as part of the Government of Canada’s - Canada 150 Research Chairs Program. Layton is the chairholder for her work in Mathematical Biology and Medicine.
Applied Mathematics professor Joseph Emerson will be an invited speaker at the Waterloo Innovation Summit.This event, to be held in Toronto on March 23, will bring a number of experts together to discuss the potential of AI and quantum computing.
Applied math PhD student Kevin Church and MMath students Laura Chandler and Petar Simidzija won first, second, and third place (in a tie) in the 2018 Three-Minute Thesis Math Faculty Heats held on Wednesday, February 28.
Collaborations between mathematicians, cancer biologists and clinical oncologists enable both rapid cost-effective testing of cancer drug combinations, and deeper understanding of cancer drug resistance. (Shutterstock)
Kirsten Morris has been elected chair of the Society for Industrial and Applied Mathematics (SIAM) Activity Group on Control and Systems Theory for 2018-2019. This SIAM Activity Group fosters collaboration and interaction among mathematicians, engineers, and other scientists in those areas of research related to the theory of systems and their control.
Analyzing trends on Twitter and Google can help predict vaccine scares that can lead to disease outbreaks, according to a study from the University of Waterloo.
In the study, researchers examined Google searches and geocoded tweets with the help of artificial intelligence and a mathematical model. The resulting data enabled them to analyze public perceptions on the value of getting vaccinated and determine when a population was getting close to a tipping point.