Graphics Processing Unit Solutions for Power Systems Computer Aided Design: Collaborative Exploration with the University of Winnipeg

Graphics Processing Units (GPUs) are usually employed to quickly render images on everyday computer screens, and do so quickly and efficiently for relatively little cost. Modern GPUs are able to do hundreds or thousands of simultaneous calculations; rewriting conventional computer problems in the language of GPUs offers the potential to dramatically decrease the computing time […]

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Development of Applications of Simultaneous Positron Emission Tomography/Magnetic Resonance Imaging

Funded through a series of NSERC partnership grants, Cubresa Inc. have been working with the applicants to develop technologies for pre-clinical imaging for positron emission tomography (PET) imaging and PET friendly radiofrequency (RF) coils for magnetic resonance imaging (MRI) of small animals. To date, our collaboration has played a direct role in Cubresa being the […]

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Development of Applications of Simultaneous Positron Emission Tomography/Magnetic Resonance Imaging – Year two

Funded through a series of NSERC partnership grants, Cubresa Inc. have been working with the applicants to develop technologies for pre-clinical imaging for positron emission tomography (PET) imaging and PET friendly radiofrequency (RF) coils for magnetic resonance imaging (MRI) of small animals. To date, our collaboration has played a direct role in Cubresa being the […]

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Grassland butterfly conservation and headstarting program

Grasslands are one of the most endangered habitat in North America. In Manitoba, over 90% has been lost in the last 100 years and with it a suite of prairie adapted species. The Poweshiek skipperling is one such species which in recent years has plummeted in abundance for unknown reasons. Less than 500 individuals remain […]

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Application of Neural Speech Synthesis Techniques to Improve Lyrical Audio Recordings

2012 marked a pivotal milestone in the field of neural networks. The intersection of general purpose computing using Graphics Processing Units (GPUs), labelled big datasets, and very large neural networks (called deep neural networks) enabled a break-through in machine learning that has led to impressive results in many fields and applications, such as self-driving vehicles […]

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