Ability of the AI to recognize impacts or damage on a vehicle

This project aims at automatically classifying the impact’s damages on the vehicles, based on photos and using AI algorithms. Evaluating damage is time consuming process in insurance industries. Expert are physically delegated to take photo’s and evaluate the damages. Receiving accidented car’s photos from different sources (client mobile app, mails from client, delegates and others) and automatically classifying them will help expert to quickly confirm and focus on more complex situation.

Alpha Portfolio with Reinforcement Learning - Part 2

ML/AI is widely used and deployed in many industries. Its deployment in Asset Management industry (and especially in Canadian pension fund sector) is significantly behind. Part of it is the fear of “black box” and what recommendation it gives. This sentiment is outdated as the recent advancements in ML/AI allow looking inside the “black box and thus focus on “white box” asset allocation recommendations. Another reason is that asset management these days is the intersection of three disciplines: Financial Economics, Statistics, and Computer Science.

Alpha Portfolio with Reinforcement Learning - Part 1

ML/AI is widely used and deployed in many industries. Its deployment in Asset Management industry (and especially in Canadian pension fund sector) is significantly behind. Part of it is the fear of “black box” and what recommendation it gives. This sentiment is outdated as the recent advancements in ML/AI allow looking inside the “black box and thus focus on “white box” asset allocation recommendations.
Another reason is that asset management these days is the intersection of three disciplines: Financial Economics, Statistics, and Computer Science.

Assessment of machine learning methods for intruder detection in industrial control networks

Cybersecurity is a matter of paramount importance to industrial control systems. There is an increasing possibility that industrial control systems may be the subject of cyber attacks, causing severe consequences. Menya is exploring the possibility to develop a solution that mainly aims at protecting the security of industrial control networks and bus technologies used in the aerospace and space industry.

Anonymisation et désensibilisation de données

L’enjeu de protection de la confidentialité des données personnelles sensibles et de leur utilisation par le secteur privé pose de plus en plus de défis. L’adoption par le gouvernement du Québec de la loi n°64, pour encadrer les dispositions législatives en matière de protection des renseignements personnels, remet la question au cœur des débats.

Analyse de sentiment sur les devises

ElligencIA est une Fintech spécialisée en Intelligence Artificielle, au service des clients du monde de la Finance (marchés des capitaux, gestion d'actifs etc). ElligencIA cherche à utiliser les technologies de l’intelligence artificielle pour développer des indices de sentiment de marché relatifs à différents actifs financiers. Ce sentiment de marché se fera grâce à l’analyse de textes, de courbes, d’images, de vidéos et de toutes données publiques disponibles au grand public, en ligne.

Estimation of turbine runner blade measured strains from indirect measurements using machine learning

Hydro-Québec has data acquisition systems for a multitude of sensors, some of which have been installed since almost 20 years in its electrical generation equipment (turbine-generator units - TGU). The collected data is primarily used to ensure that the information is adequate in the event of an equipment breakdown or for specific behavioral studies.

ePROS-A - eÉducation à la santé attitudes et comportements alimentaire

La compréhension holistique et régulation complexe de l’acte de manger, catalysé par le contexte du confinement pandémique, impose une approche transdisciplinaire. Pour répondre à ce défis, l’équipe GR2TCA-Loricorps porteuse de la demande, propose un projet partenarial intersectoriel ePROS-A en développant un programme efficace d’eÉducation à la santé s’appuyant sur des outils numériques. Ce projet nécessite deux phases. [P1] La première phase préalable est une phase de création du contenu du programme est des outils numérique (p.

Système de reconnaissance d’objets pour drone reposant sur un modèle d’apprentissage profond

L’objectif de ce projet pilote est d’équiper des drones longue portée avec un système complémentaire de navigation assistée par l’intelligence artificielle. Plus précisément, ce système permettra aux drones de mieux percevoir leur environnement et d'y réagir plus intelligemment. La principale préoccupation concernant les drones volant hors visibilité directe (HVD) est reliée au partage de l’espace aérien avec des aéronefs traditionnels et les autres drones. Cela crée un risque de collisions en vol.

Machine learning for the extraction and classification of medical data from unstructured medical documents

This project addresses challenging needs of medicolegal report writers. Subject matter experts who provide expert witness testimony in the form of a medicolegal report, are asked to review thousands of pages of documents from a variety of sources to formulate their opinions. Report Mate’s goal is to develop an online platform aimed at medical report writing experts to manage large amounts of document data and help synthesize it into a chronological, searchable database to facilitate the creation of expert witness reports.

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