Terahertz Time Domain System to Characterize Performance of Terahertz Quantum Cascade Laser Sources

In this project, we plan to address the specific application and problem that TeTechS Inc is facing at this stage of its product development of photoconductive antennas, which is using its photoconductive antennas for characterizing performance of quantum cascade lasers (QCL) in time-domain measurement setup by demonstrating the capability of its proprietary terahertz sensor technology […]

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Showcasing the feasibility and cost-effectiveness of electrifying small businesses

Emissions from the buildings sector account for over half of Toronto’s greenhouse gas emissions, of which about one quarter is attributed to the city’s ~32,000 small commercial buildings. To meet the City of Toronto’s Net Zero by 2040 target, these buildings must be retrofitted and electrified. Small business owners are uniquely positioned for decarbonization with […]

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ReAct ReCreate ReVision: Youth Arts Advocacy for Cultural Justice

How can we open pathways for young artists from disenfranchised identities to connect and provide leadership to cultural processes and systems? How might we formally recognize their skills and contributions to culture, and further support them as developing artists and researchers? How can research creations sustain and grow community arts impacts, and promote more equitable […]

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Dreamcatcher Informatics: a Web-based and Mobile Information System to Support Land Management, Consultation, and the Preservation of History, Culture and Traditional Ecological Knowledge

The role of this internship is to assist in reaching the SSHRC goal for theDreamcatcher system of capturing cultural data, traditional ecological knowledge, and traditional land use in order to create as full of a historical, cultural, and economic record as is possible as well as strong land use management/consultation, water management, asset management, and […]

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Development of soil quality guidelines for use in health risk assessments of contaminated pipeline compressor station sites

Intrinsik has identified a number of key chemical-pathway combinations that are missing environmental quality guidelines but frequently required for evaluating risks at pipeline compressor stations. With support from senior scientific personnel at Intrinsik, the intern will used environmental risk assessments methods to develop risk-based environmental quality guidelines that are relevant to the land use scenario(s) […]

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AI Experiences and Conceptions of Responsibility for Responsible AI Practice: Diverse Perspectives

This study explores the perspectives of Canadians, including equity-deserving groups on artificial intelligence (AI). Underrepresented groups, who are not consulted enough in policymaking due to inequality, are given a platform through this study to share their insights. The goal is to provide inclusive practices in the development, regulation and use of AI. Participants from diverse […]

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Designing quantum intelligent algorithms for portfolio optimization problems

Portfolio optimization is pivotal in the financial domain, aiming to allocate assets to maximize returns and minimize risk. Conventional optimization techniques often fall short due to the financial markets’ intricate nature, the optimization landscape’s non-convexity, and the vastness of possible portfolios. This project introduces a novel approach by integrating quantum-inspired methods with machine learning techniques […]

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Advanced Mass Spectrometry ExperimentDevelopment (AMASED)

This project will develop, test and then apply new mass spectrometry (MS) methods of measuring radionuclides and their decay products. This approach will provide rapid and economic measures of radionuclides that are important in human health and environmental protection nuclear facilities. We will work closely with our partners to ensure that the methods are validated […]

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AI Sales Assistant

The onboarding process for B2B sales professionals is traditionally lengthy and inefficient, often taking upwards of six months to reach full productivity. This results in significant revenue losses and reduced competitiveness. Current AI models in sales onboarding lack contextual understanding and fail to deliver systematic, measurable outcomes that align with the nuanced demands of B2B […]

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