Identifying potentiators for improved adeno associated virus based gene therapy for the central nervous system

Gene therapies are revolutionizing medicine, providing new therapeutics for diseases that previously were untreatable. In the central nervous system in particular, gene therapies hold great promise for saving lives and improving the quality of life of children and aged patients. The most common form of gene therapy that is used to treat patients involves the […]

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Modern LLVM mapping of sequential code to task-/data-flow models

The high-level goal is to develop technology to enable more C++ applications to run well on many-core architectures such as recent AMD CPUs, GPUs, and combinations thereof (APUs). We expect to improve the capabilities of compilers like clang/LLVM to identify task-level parallelization opportunities that are not able to be identified today.

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Statistical Analysis and Machine Learning Approach to Retail Sales Forecasting Based on Localized Weather Features

In recent years, weather has been recognized as an important factor that can have a significant impact on consumer behavior in certain industries. Predictive models that incorporate weather data can help industries to adjust their inventory and marketing strategies to optimize sales. This research project focuses on using machine learning and data analytics to determine […]

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Abnormal Detection for Language Assessment

A typical language test usually consists of four parts: speaking, listening, reading, and writing. Both audio and text data from the test takers will be collected and used by the automated scoring system. During the test, some test takers will intentionally/unintentionally provide abnormal answers, which may contain memorized content, repeated sentences, and meaningless or off-topic […]

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AIDOX – Document Verification System

To validate structured trade contracts for language and economic term correctness, the existing document understanding systems use machine learning methods, natural language understanding, and text analysis, to extract data elements from financial documents. This can be expanded to a wide variety of financial documents, especially customer-provided reference material. The project focuses on document information extraction […]

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Multimodal Game Event Detection via Machine Learning

The partner company (AMD) is a major innovator in the field of computer graphics and visualization, they manufacture Graphical Processing Unit (GPU) which are used by many gamers around the world. While playing video games, gamers tend to perform out-of-band actions such as saving the last few minutes of gameplay after a challenging fight in […]

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Simulation of Device Location Changes

Mobile devices are essential in today’s enterprise, enabling workers to carry out their duties effectively. However, losing or having such devices stolen can be detrimental, making it important to locate them at any given time and place. The project aims to develop a simulation tool that generates location data for mobile devices in real-life scenarios, […]

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Managing Beech Bark Disease with ecological economic options

American beech is a tree species that is distributed from the southeast of the United States up to the southeast of Canada. It has significant ecological and economic importance in Canada, especially in southern and central Ontario and Quebec. The beech population is suffering from beech bark disease, which kills most of the mature individuals, […]

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Intramucosal Lorazepam spray: Whole Cell and Extracellular Eelctrophysiological Study of Pharmacokinetics and Pharmacodynamics

Epileptic patients have a long term risk of recurrent seizures and the mainstay of treatment for controlling seizures is antiepileptic drugs. Management of epileptic emergencies usually requires hospitalization and the administration of intravenous (i.v.) anticonvulsant drugs. Lorazepam i.v. is the most effective treatment of status epilepticus, and therefore is routinely used in hospital emergency departments. […]

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Sean Grindal – Applying emerging AI technology to Enhance Learning in the Classroom

The intern will be participating in research to evaluate ways to apply emerging AI technology and AI products to the Canadian education sector. Education topics of focus include but are not limited to, mathematics, physics, chemistry, biology, and computer science. The intern will evaluate the current AI landscape to discern the capabilities of the technology […]

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Effects of invasive plant management on urban plant-pollinator interactions

To restore a damaged ecosystem, one of the first steps is to remove alien invasive plants. These plants come from elsewhere in the world and can deeply alter the native plant community in their new environments. These changes can in turn affect insect pollinators, like bees, who depend on plants for food. In naturalized or […]

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