Agent-based modelling and simulation of sidewalk delivery robots’ interaction with pedestrians

With the rise of e-commerce, consumer demands for parcel delivery have changed. COVID-19 further fueled this demand due to restrictions and people’s preferences for fewer interactions. With the increase in consumers’ delivery demands, the cost and complexity of meeting those parcel-delivery demands have been increased as well. There have been many disruptions to solve this […]

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Ontology mapping Symptoms to ICD10

The mapping symptoms from natural language to ICD 10 codes is crucial step in the health. Facilitating early identification of emerging health issues, monitoring of population health and agile response to changing clinical practices. Enabling accurate access to relevant information, reducing costly duplications and errors. For us it will be so necessary to classify the […]

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GovLab.ai for the creation of government solutions powered by AI/ML – AltaML

This application is focused on GovLab.ai which includes a talent accelerator for public service professionals, post-secondary students and recent graduates. GovLab.ai’s mission is to set a global example of how to transform the public sector through applied AI, and is designed to encourage the growth of machine learning and AI skill sets that are in […]

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QDoc Scheduler Project Continuation

QDoc is seeking to engage a team of three software developers who will focus on building an online patient scheduling request system. The interns will use a variety of programming softwares to design, test, and implement this software. When completed, this project will equip QDoc in preparation for its anticipated growth to be able to […]

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Neuroptek – Mobile Application

Neuroptek is hopeful that this fourth iteration will be the last to complete the mobile application. Neuroptek will be hiring an experienced mobile application consultation company to help guide its employees and interns.

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High-throughput linguistic content comparison and sentiment analysis

Scrawlr is a platform for unconstrained, global interaction with all internet content and users. Scrawlr allows for user evaluation and unconstrained classification of any Scrawlr-hosted or non-Scrawlr content. For non- Scrawlr content, this evaluation and classification allowance will be first at the URL level but will subsequently be provided at the individual content component level. […]

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Jumine : Détection et prédiction des anomalies en flottation minière

Jumine propose, à l’aide d’un jumeau numérique, de développer l’intelligence nécessaire à la détection d’anomalies dans le procédé de flottation, une partie importante du procédé de traitement du minerai. Jumine doit créer un jeu de données pour concevoir un modèle de détection, qui permettra de signaler en temps réel les anomalies présentes dans le procédé […]

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EXFO : Utilisation des réseaux neuronaux pour l’identification et la classification d’anomalies dans les fibres optiques

Ce projet proposé par EXFO vise à améliorer la performance des Optical Time-Domain Reflectometer (OTDR) pour l’évaluation de la qualité d’un lien de fibre optique utilisé pour la télécommunication. L’objectif principal est d’améliorer l’identification des événements et leur classification en utilisant des réseaux neuronaux. Les méthodes actuelles peinent à identifier des événements successifs rapprochés, particulièrement […]

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Analyse et amélioration de modèles NLU dans le domaine de l’assurance

Koïos Intelligence est à la source de l’agent conversationnel Olivo qui vise à offrir une expérience interactive, guidant l’utilisateur au travers des processus de prévente, de vente et d’après-vente pour tous les types d’assurances. Bien que l’outil soit dans un état avancé tant au niveau de la conversation écrite qu’orale, et ce aussi bien en […]

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Personal Health Information Software Platform – Data Exposure and Referential Integrity Investigations for Electronic Medical Record Integration Development for Seamless Hospital Use

TAMVOES is a personal health record (PHR) software platform that seeks to help better manage an individual’s health by empowering them to collect and securely store copies of their health history, allergies, vitals and appointments online. They have an opportunity to increase their customer base by extending their platform to hospitals and large clinics, especially […]

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Exploring Unsupervised Domain Adaptation Methods for Automated Linear Disturbance Mapping

In the Canadian boreal forest region habitat fragmentation due to linear disturbances (roads, seismic explora-tion, pipelines, and energy transmission corridors) is a leading cause for the decline of wood-land caribou (Rangifer tarandus) – boreal population; and as a result, a deep understanding of linear disturbances (amount, spatial distribution, dynamics) has become a research and forest […]

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