The project aims to develop a strategy to drive operational efficiencies across all of Viva’s core business functions.
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The project aims to develop a strategy to drive operational efficiencies across all of Viva’s core business functions.
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Quantum computers are well-suited to a subset of machine learning tasks known as supervised learning (SL). In SL, a model is trained on labelled data to generate correct labels for novel data thereafter. Robust classifiers can be achieved in SL by using the “kernel trick”, which provides a more expressive metric from a transformed point […]
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We are seeking someone who can work closely with our founding engineers to enhance the various methods we collect and process data from customers. Specific tasks will include conducting secondary and primary source research on data sources of interest (data silos). Tasks will also include producing validation that data sources can be ingested from customer […]
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In response to the current housing crisis, we are studying the effectiveness of tiny homes as a solution to transitional housing for housing insecure persons in the Region of Waterloo. We have completed an earlier phase of this research which produced a Tiny House prototype and propose to continue this research through the following two […]
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The research will document process knowledge that is currently held by individual employees. The main objective is that this personal knowledge about processes can be shared and used to create standardized documents which, as a result, can improve coordination and collaboration. The documentation work will include reviewing existing organization’s documents, engaging personnel in series of […]
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The research project bridges across international architectural exhibitions using nextgeneration dissemination venues, including online and physical screenings. The project includes the immersive architectural environment Grove and its associated CGI film Grove Cradle. The film was created for the 17th Venice Biennale of Architecture as a collaboration between Professor Philip Beesley of Canada, Warren Du Preez […]
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Prostate cancer is a prominent cause of death in Canada. A better understanding of how prostate tumours grow and respond to treatment is vital; however, typical lab methods used to study cancer have key limitations. To compensate for these shortcomings, computational models have revolutionized the study of cancer. This research proposes modifying an existing 3D […]
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Utilizing advanced tools for optimal planning of Microgrids with high renewable energy penetration. Our models would be robust to handle uncertainty in supply, demand and technological changes. The inputs to our model would be demand, supply data (meteorological data) and technological costs for the specified location for the past. Statistical analysis of the data would […]
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The main goal of this study is to develop a catalyst capable of producing hydrogen through urea oxidation. By synthesizing and modifying various metal nanoparticles, a layered double hydroxide structure will be synthesized, and electrochemical measurements will be made. Through this study, laboratories of both countries will find a new way to cooperate to produce […]
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Nanoparticles made from hafnium dioxide (hafnia; HfO2) have emerged as a potential enhancer of cancer radiation therapy. Such nanoparticles allow for reduced doses of radiation to be used on tumors, sparing healthy tissue from side effects without reducing its anti-cancer effects. However, despite their potential, it is not yet known how different nanoparticle properties, such […]
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In AI safety, compliance ensures that a model adheres to operational specifications at runtime to avoid adverse events for the end user. This proposal looks at increasing the suite of compliance testing and verification tools available to ML practitioners by implementing two more tools, CGDTest and Goose. The overall goal is to develop both proposed […]
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The proposed research is for the intern to work with BlueMind Inc. to gather and build data on different types of insurance client scenarios. Once this data is aggregated the intern must work with the organization to clean, organize and label the data. Finally, the outcome of the project should be AI models based on […]
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