Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis

Deep learning has unlocked new paths towards the emulation of the peculiarly-human capability of learning from examples. While this kind of bottom-up learning works well for tasks such as image classification or object detection, it is not as effective when it comes to natural language processing. Communication is much more than learning a sequence of […]

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Applications of Wearable Data and AI to Augment the i-Share Platform

i-Share is a project being conducted by the Université de Bordeaux. It is one of the largest mental health studies in the world, with the goal of collecting self-report information on mental health (e.g., stress, sleep, physical exercise, depression) from over 20,000 students from French universities. Currently, students have access to personal devices, such as […]

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Using Artificial Intelligence to Characterize the Dynamics of Seismic Risk

The Pacific Northwest has the potential to experience large earthquakes (magnitude ~9) along the Cascadia Subduction Zone (CSZ) fault, which is located approximately 120 km off the city of Vancouver. The last CSZ earthquake occurred in 1700, and it is expected to happen every 500 years. An occurrence of this event could lead to large […]

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Caractérisation fonctionnelle et valorisation des peptides de défense des arbres de la famille des Salicacées

L’agriculture moderne recherche des solutions pour diminuer l’utilisation de pesticides chimiques. Dans ce contexte, les acteurs de la recherche et de l’innovation ont un rôle à jouer pour développer des pesticides non-chimiques : les biopesticides. Le projet s’inscrit dans ce contexte, en caractérisant une famille de peptides antimicrobiens (appelés RISPs – Rust Induced Secreted Protein) […]

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Towards Developing an Artificial Intelligence-based System for Detection of Cyber Attacks in Modern Industrial Control Systems

Modern Industrial Control Systems (ICS) are increasingly getting connected to the Internet to facilitate operations. To ensure safety on the internet, the ICS communications are being encrypted. This poses a challenge for the traditional Intrusion Detection Systems that used to rely on visible messages and control data communication for detecting the presence of known attacks […]

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Développement de chambre expérimentale pour exposition sonore de bivalves marins

L’objectif principal est le développement d’un système permettant de mesurer l’impact de sons anthropiques sur des bivalves adultes durant des expositions à long terme. Ainsi le système devra permettre un apport en eau neuve en continue afin d’alimenter en nourriture et en oxygène les animaux sans générer de bruits ambiant. Le système sera testé sur […]

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Artificial Intelligence for Accelerator Control

TRIUMF accelerator complex enables world class research in fields ranging from nuclear physics to material sciences, life sciences and nuclear medicine offering a major advantage in probing nuclear physics processes and uniquely place TRIUMF as a leader in experiments at the “precision frontier” to address some of the fundamental scientific questions of our time. To […]

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Algorithmic Interventions in India’s Healthcare : Promises and Prospects

Through my research I will seek to explore a context-sensitive framework for responsible deployment of artificial intelligence (AI) and big data analytics in the domain of healthcare in India, and juxtapose it with the healthcare technology ecosystem of Canada. In doing so, I will invoke the concepts of responsible AI, data governance, knowledge-making, state-accountability and […]

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Soil microbial community in cropping systems integrated with Urochloa spp

Nitrogen (N) is essential in agriculture, but has caused environmental pollution problems, demanding improvements in N use efficiency by crops. Tropical grasses like Urochloa spp. conserve N by biological nitrification inhibition (BNI) and mitigate N losses in soils. However, little is known regarding the effects of BNI plants on soil microbial diversity and functions, especially […]

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Empreintre écologique du son associé au trafic maritime sur les bivalves marins

L’objectif principal est d’évaluer les impacts acoustiques sur la dynamique naturelle des bivalves sur deux sites contrastés, l’un perturbé et l’autre vierge dans la région de Saint-Pierre et Miquelon carcatérisée par la présence unique de large ondes interne générant des variations de température importantes et régulière en moins de 24 heures. Dans un premier temps, […]

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