“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”
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“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”
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In this project, the candidate will gather new & utilize existing data in conjunction with machine learning algorithms to optimize various aspects of how one (or more) social games operates. Experiments will be proposed and run in order to gather operational data. This data will be used in conjunction with existing player & game data […]
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The objective is to expand on current collision avoidance path planning frameworks in a two-fold manner, improving prediction as well as decision-making components. The first task is to improve prediction models and generate maneuver bands for air traffic circuit navigation. The second task is to then improve the decision-making framework to select the pseudo-optimal maneuver, […]
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MyHealthNB is a province-wide personal health records (PHR) application that provides all New Brunswick citizens digital access to their health information, including lab results, immunization records, medication lists, and imaging reports. Although MyHealthNB was developed with aim of empowering New Brunswickers to be more actively involved in their health and healthcare, the solution has yet […]
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The company collects survey data from websites which is combined with behavioural data from survey respondents. This combined data set is information rich but can be too sparse for modelling purposes in a straight forward supervised learning context. As such, on-going research concerns optimizing the process by which non-survey related behavioural data can be leveraged […]
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CEIMIA is an international non-profit organization that mobilizes expertise and resources to promote the development and responsible use of artificial intelligence for the benefit of humanity. One of CEIMIA’s role is to establish supportive connections between key players in the national and international AI ecosystems, while promoting diversity and inclusion in all their projects.
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??Bryan & Company LLP is a local Edmonton law firm (approx. 100 full-time employees) founded in 1928. Early in 2023, the Company welcomed a new IT Manager who is tasked with developing the technology roadmap for the next strategic planning cycle that will bring the Company to its centennial in 2028. ?Bryan is also in […]
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With the DVM shortage, our registered veterinary technologist’s are stepping in to fill in areas where they are able to decrease some of the burden for our veterinarians. This is unique and puts our technologists in new roles than they may have not traditionally been in. We are in a time of innovation and change […]
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This project is to continue to implement data analysis algorithms for real time analysis of precision feeding data provided by a novel custom poultry precision feeding system. In addition if time allows work on some computer vision algorithms to detect the presence of a bird in a feeding station.
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The intern will investigate the architectural potential and philosophical merit of Near-Living Architecture, a design that allows environments to be aware and empathetic to their occupants. To do this, the intern will edit and contribute to the upcoming Near-Living Architecture Monograph, a written work describing the vision, execution and future applications of research conducted by […]
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AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech […]
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The objective of this project is to develop artificial intelligence (AI)-based solutions aimed at denoising ventilation-perfusion (V/Q) planar images for the detection of pulmonary embolism (PE). The denoising algorithm has the potential to solve two major limitations of V/Q scans: long acquisition times and currently insufficient techniques for generating pseudo-planar images from SPECT acquisitions. Our […]
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