Impact Evaluation System for Arts & Culture Non-Profits

The project aims to equip Toronto’s Local Arts Service Organizations (LASOs) with streamlined data management and impact assessment capabilities. LASOs consist of six registered charity organizations working across Scarborough, Etobicoke, North York, East York, York, and Lakeshore. The partner organization, Sympl Solutions, in collaboration with LASOs, will develop a Minimum Viable Product (MVP) software solution. […]

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Exploration et Cartographie Côtière Assistée par l’Intelligence Artificielle à l’Aide de Données Satellitaires dans le Littoral du Nunavik

La région du Nunavik, situé au nord du Québec, abrite écosystèmes côtiers d’une importance écologique et culturelle considérable, mais demeure largement non cartographiée. Le défi principal réside dans la complexité et les coûts élevés associés à la cartographie précises de ces régions isolées et difficile d’accès. Néanmoins, les progrès réalisés dans l’observation de la Terre […]

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Title of Project: Comparative analysis of three spider mite genomes

We are focusing on three genomes of spider mite, an agricultural pest. One mite feeds on 1200 plants, the other one only feeds on one plant while the third feeds on several plants. Most of the plants these mites feed on are important in agriculture and therefore spider mites cause huge economic damage for agriculture […]

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Développer un modèle d’apprentissage par renforcement permettant à un robot de déterminer le positionnement de son préhenseur pour saisir un objet inconnu selon sa forme et diverses autres spécifications.

Les objectifs spécifiques du stage sont d’utiliser une version numérique de la pince du robot, des objets à saisir et de leur environnement dans un simulateur et de développer un modèle d’intelligence artificielle permettant de déterminer le positionnement et la manière d’agripper les objets. Le projet proposé par le stagiaire vise à développer de tels […]

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Using AI to enhance threat intelligence capabilities

The proposed research project aims to revolutionize cybersecurity at Difenda Inc. by integrating artificial intelligence (AI) into their security infrastructure. Traditional methods of analyzing cyber threat intelligence (CTI) are hindered by manual processes, resulting in slow response times and information overload. Through the adoption of AI-driven solutions, the project seeks to automate the accumulation, processing, […]

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Navigating the AI Landscape: Monitoring User Interactions with Large Language Models

In today’s modern business landscape, Large Language Models (LLMs) have emerged as essential tools, enabling personalized marketing, data interpretation, and precise financial planning. However, despite their potential benefits, integrating LLMs into business processes poses inherent challenges. Issues such as misalignment, malicious inputs, harmful outputs, sensitive information disclosure, inaccurate information, and unintended biases can significantly impact […]

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Development of a computational pipeline to mine phage endolysin sequences from metagenomic datasets

The resistance of bacteria to antibiotics is a growing problem that we need to address, for example, through the development of alternative treatments. Bacteriophages, or phages, the viruses of bacteria, have been proposed as a potential avenue for the treatment of recurring bacterial infections or against multi-resistant bacteria. Even more promising, are proteins encoded by […]

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