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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Machine Learning for Speech Enhancement

The core value of Nureva is to provide reliable and easy-to-use audio-conferencing products that offer a good user experience and maximize productivity. The unique Microphone Mist™ technology unlocks new possibilities to pick up audio from anywhere in the room. One subtopic of this research is to investigate ML as it relates to sound event localization […]

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The Mental Health and Work Participation of Home Care Rehabilitation Professionals Transitioning Out of the COVID-19 Pandemic

The COVID-19 pandemic has undoubtedly affected the physical and mental health wellbeing of health care workers. However, research on occupational stress and burnout in rehabilitation professionals (RPs) is severely lacking especially the effects of COVID-19. The purpose of this study is to examine the nature and impacts of burnout and occupational stress among RPs working […]

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Project Blinkem – Optical channel communication for Mixed Reality Systems

Project Blinkem is a novel approach to visible light communication, which aims to create a low-cost, scalable, and secure framework using existing technologies. The project proposes encoding data into Infrared LEDs, which can visually communicate with high-resolution image sensors on HMDs as well as a high-speed optical module. By leveraging the security benefits of visible […]

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Model compression and inference optimization for UAV’s companion computer

With the evolution of computer vision methods in recent years, more and more scene-understanding methods have been proposed. Meanwhile, SOTI also designed and developed several scene-understanding algorithms. However, due to the limited computing capabilities of UAVs, all these algorithms need to be compressed to use fewer resources. This project will deliver a model compression and […]

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Kerem Topal Ismail Oglou – Leveraging AI and Data Analytics to Minimize Waste Generation in the Fashion Industry and Drive Sustainability.

During the internship, the intern will focus on three primary objectives related to the commercialization of sustainable solutions for the fashion industry: Conducting a comprehensive business market analysis on retail/consumer goods industry standards for demand forecasting. Extracting, cleaning, categorizing, and analyzing historical sales data to drive insights into consumer purchasing behavior and seasonality. Assisting the […]

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Towards AI Assisted Training Tool: Automated Identification of Calcifications in Optical Coherence Tomography Breast Tissue Images.

Breast cancer is the most common cancer (excluding non-melanoma skin cancer) in 109 countries including Canada. Approximately 70% of the breast cancer surgeries are breast-conserving lumpectomy procedures. Histopathology analysis typically require 2-4 days, resulting in the need for a second surgery if a margin is positive. Perimeter Medical is developing advanced Optical Coherence Tomography (OCT) […]

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AI-driven Predictive Models and Consumer Insight for Trade Optimization Improvement

The proposed project is to develop AI strategies to provide precision marketing through consumer segmentation and recommender systems, as well as to promote events that shall meet various business goals for retailers and Unilever. Successful outcomes will feed into an On-Demand AI Engine aimed at improving consumer engagement and pricing strategy in the consumer packaged […]

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Enhanced & Editable Deep Fakes

Traditional Computer Generated Imagery (CGI) splits the process into separate stages: we model geometry; apply textures and define surface properties; animate motion; and apply lighting; before combining the elements when rendering imagery. Deep-learning methods such as Deep Fakes, or NeRF train a network to combine many of these steps into a single network, and are […]

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