Performance issues for embedded and random problems in adiabatic quantum optimization

Current and near-future D-Wave processors implement optimization using quantum effects on a fixed processor layout. This layout can be modeled as a graph with certain constraints, and the optimization is applied to a specific problem: fixed-topology Ising spin optimization. It is therefore important to study how best to use this hardware to solve combinatorial optimization […]

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Development of standard sample processing procedure for multi-omics analysis of small intestinal samples collected by an ingestible capsule and understanding of relationship between gut microbiota and IgA production

Recent studies have shown that the gut microbiome works as an organ of the human body which produces bioactive molecules and metabolites. Since the gut microbiome is in close interaction with the human internal environment and changes in the compositions of gut microbiota can impact host physiology through many pathways. Precise determination of gut microbiota […]

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Enhancing smart thermostat performance through customer data analysis and the integration of AI techniques

Enhancing the efficiency of expanding HVAC systems is a complex task. Utilizing Artificial Intelligence (AI) techniques like Machine Learning (ML) and Deep Learning offers promising solutions. ENA Solution’s smart thermostats provide the potential to employ AI methods for temperature control and energy optimization. In recent years, the company has made efforts to integrate AI for […]

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Prediction and management of the long-term environmental risk of mine waste rock piles via 5G-enabled instrumentation and monitoring

Mining activities generate large quantities of waste rock after valuable metals are extracted. Upon exposure to air and water, a diverse range of metals and metalloids are released and mobilized to the surrounding environment. There is an urgent need to manage the environmental risk posed by mine waste rock piles given the scale of the […]

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Combating Algorithmic Bias: responsible fairness measures, algorithms and toolkits in retail banking

Fairness has gained unprecedented support in a world of daily emerging scientific inquisition and discovery, aiming to tackle algorithmic bias effectively. Extensive efforts have been devoted to defining and embodying what is bias (discrimination) and developing tools that enable machine learning practitioners to detect and mitigate bias during algorithm design. However, mysteries are yet to […]

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Libérer le potentiel des entrepreneurs par le mentorat : exploration de différentes pratiques

L’objectif général de ce projet de recherche consiste à mieux comprendre la contribution des différentes formules de mentorat (individuel et en groupe) à la réussite des entrepreneurs novices. Plus spécifiquement, ce projet de recherche en partenariat poursuit les objectifs suivants : 1) Documenter les retombées du mentorat pour entrepreneurs selon différentes formules identifiées; 2) Comprendre […]

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Towards practical blockchain technologies for physical asset tokenization

Originating in 2008 with Bitcoin, blockchain technologies have reached recognition as the infrastructure powering cryptocurrencies. Smart contracts have provided the programmability needed to support a second generation of decentralized applications, such as non-fungible tokens (NFTs) and decentralized finances (DeFi). We are now ushering in a third wave, where the technology is crossing the digital boundary […]

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Trail preference and use in Kananaskis: Advancing human-wildlife coexistence

Our study is designed to document Kananaskis visitors’ trail preferences and use patterns, their motives for visitation, their attitudes towards environmentally-friendly trail use practices, and knowledge of impacts on wildlife arising from trail use. This information will advance recreation-wildlife coexistence, by informing investment, communications and planning efforts – designed to promote more sustainable use of […]

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Veille technologique sur l’impact de l’intelligence artificielle sur la découvrabilité dans le secteur culturel

Ce projet de recherche s’inscrit dans le cadre d’un projet du Centre d’excellence international de Montréal en intelligence artificielle (CEIMIA) dont le but est d’étudier comment l’intelligence artificielle peut contribuer à une meilleure découvrabilité des contenus culturels francophones, et à en traiter les enjeux, dans le contexte actuel des écosystèmes culturels et numériques. La littérature […]

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