Projets novateurs réalisés

Machine Learning Developer intern within cross-functional teams to develop and commercialize AI-powered solutions – Part 6

AltaML is an innovative company capitalizing on a major technological trend: artificial intelligence (AI) technologies, enabled by big data, are driving a fourth industrial revolution. AI will transform all industries, but traditional industries face challenges in implementing AI. AltaML has a unique business model to overcome barriers to adoption of AI solutions by industry, which is to bring the innovating startup together with the large organization, thereby bringing together rich datasets, AI talent with a playbook for industry application and the close collaboration of subject matter experts and AI experts–with a mindset for change. In addition to AI expertise, we bring agility that our large, corporate partners often lack, and which is so essential for innovation. With a strategic focus on AI adoption and product, AltaML works across industries as well as with the public sector using a co-development approach to create applied AI solutions as well as joint AI ventures. This rich, complex multisectoral environment provides the breadth that enables insights in one area to be applied in new areas, leading to ever increasing opportunities for innovation.

The project comprises internships in a variety of technical and business roles, which are: associate machine learning developer, business development associate, communications associate, finance associate, associate business solutions consultant, and project delivery associate. Outcomes will include algorithm creation and deployment, data visualizations, market research reports, sales collateral, competitive landscape analysis, feasibility analysis; key messages and content writing such as case studies and feature articles, financial model development, data analysis, financial reports and variance analysis, customer workflow mapping, business case reports, resource allocation plans, project update reports, and project plans.

Using AI/ML to Search a Knowledge Base

This research project aims to address the challenge of improving customer experience and satisfaction by providing quick, accurate, and efficient answers to their questions about Avid products and services. Avid’s extensive knowledge base (KB) serves as a valuable resource for customers; however, finding relevant information can be time-consuming and challenging. The proposed AI-powered virtual assistant aims to overcome this issue by leveraging state-of-the-art AI and ML technologies to answer customer queries using Avid’s KB.
The primary objective of this project is to develop a virtual assistant capable of providing relevant and accurate answers to customer questions throughout their journey with Avid products and services. Specific objectives include understanding Avid’s KB and customer needs, preparing data for semantic indexing, developing a semantic search system, integrating ChatGPT, implementing the virtual assistant into Avid Link, and monitoring and evaluating its performance. This project holds significant potential for enhancing the customer experience with Avid products and services, ultimately contributing to increased customer satisfaction and loyalty.

Anomaly Detection Models for the Trusted Execution Environment

In this project, Dr. Fung and her students will work with Trustcore Technology to design and develop anomaly detection functions in the trusted execution environment (TEE) of Internet of Things devices. The goal is to provide a robust solution to detect malfunctions and/or intrusions in IoT systems. The project is divided into two parts. Part one is to provide a basic anomaly detection function on the IoT device. Part two is the anomaly detection component built at a remote place. The two components complement each other and provide security and resilience features to IoT devices.

Digital Marketing and Growth Innovation Project

KOJA Consulting is a Vancouver-based consulting firm offering fractional project management and leadership to teams looking to create efficiency or solve a problem. KOJA is preparing to expand to serve more clients across the Greater Vancouver area and beyond. Through webinar events and a targeted LinkedIn marketing strategy, the company aims to develop valuable partnerships and referrals within its industry network. Hiring an intern to facilitate growth-oriented initiatives can provide KOJA with valuable support, fresh perspectives, and specialized skills to expand their client base, strengthen their brand presence, and achieve growth objectives.

Market Research into Replacement Gases for HFCs and HFOs and into SF6 for Switchgear applications

The Intern will do research to identify possible existing and new gases to replace harmful gases used in refrigeration, automotive air conditioning and other similar industrial and consumer uses that are known to deplete the ozone layer or are ‘super-greenhouse gases’. Through literature searches and primary interviews with manufacturers, the student will prepare an analysis that covers the technical merits and limitations of the various alternative gases, and identifies the competitive market dynamic, regulatory framework, and repurposing opportunity for these gases in Canada and globally. Fielding Chemical is investigating the opportunity for developing profitable recycling programs for these alternative gases to expand its business and help create a more sustainable environment, in keeping with its current business as the largest repurposer of refrigerants in Canada. The intern will also analyze the market and ability for FCT to become a recylcer for SF6, a gas used in high voltage switch gear applications, which has limited recycling currently. .

Data Scientist / Machine Learning Engineer

Project Description Public Project Overview:

This proposal addresses a critical issue faced by Popeyes, a major fast food chain boasting over 45 establishments within the Greater Toronto Area, Ontario. Their Google review rating has seen a downturn, and they have set a target to uplift it significantly by 2024. Upon studying the customer feedback, a potential area for improvement has been identified, which could be pivotal in accomplishing this goal.

Mise en place d’une stratégie de gestion de produit dans une start-up en contexte incertain

Une gestion de produit efficace permet aux entreprises en démarrage de concentrer leur ressources limité à des améliorations produits pertinentes pour leur développement.
Latence Technologies est une entreprise en démarrage de télécommunications/IA proposant une solution d’analyse en temps réel pour évaluer la qualité des réseaux 5G et LTE privés en mettant l’accent sur la faible latence (en instance de brevet aux États-Unis). Elle commercialise son produit depuis 2023 sur plusieurs segments de marché, tels que les opérateurs mobiles, les fabricants de voitures connectées, les intégrateurs de systèmes et les industries manufacturières.
Cependant, en raison des demandes multiples des clients, d’un positionnement sur un marché en constante évolution et des nombreuses idées des co-fondateurs, Latence Technologies rencontre des défis pour gérer efficacement le développement de son produit. Dans ce contexte incertain et en constante évolution, ce projet permettra de mettre en place un processus de gestion de produit adapté à l’entreprise pour mieux gérer ses demandes des clients, prioriser les fonctionnalités et aligner sa stratégie produit sur ses objectifs commerciaux.

Mieux soutenir et accompagner les entreprises innovantes et en croissance

Ce projet de recherche vise à améliorer les services de soutien et d’accompagnement à l’innovation et à la croissance des entreprises, en se basant sur des données probantes et des analyses fiables. Il s’appuie sur diverses littératures, y compris celle sur les systèmes d’innovation, les organismes de soutien à l’innovation et à l’entrepreneuriat, et les déterminants de l’innovation au sein des entreprises. Le projet comprend une consultation des acteurs du développement économique et une enquête auprès des entreprises pour analyser l’offre de services régionaux et territoriaux, dresser un portrait de l’innovation et des besoins des entreprises, identifier les déficits en ressources et services, formuler des recommandations
pour optimiser l’écosystème, mettre en oeuvre un plan de diffusion des connaissances et envisager une mise à l’échelle de l’enquête dans d’autres régions.

CommunityFirst Perpetual Fund: Designing Alternative Funding and Aid Distribution Model for Effective Humanitarian Health Crisis Response

Communities and local non-governmental organizations experiencing health crisis have had multiple barriers between their response strategies such as community workshops on how to treat an illness, and funds. Long, bureaucratic, and competitive processes to apply for funding from governments and international NGOs immobilize community action and leave them vulnerable when stricken by health emergencies. Funding barriers arise from many inefficiencies in the humanitarian aid system such as the existence of many intermediaries between investors and donors, and communities needing aid. We will thus research what exactly causes inefficiencies in the humanitarian aid sector, and what financial models have worked in the past for community health response in times of emergency. With this research, we will develop a CommunityFirst Perpetual Fund, so that communities can respond to crises their way with easily and quickly accessible funds. Through social impact finance we aim to financially include vulnerabilised communities in crisis.

Development of a smart wearable device using sensor fusion for human motion tracking

In this project, we’re developing a smart wearable device that works together with an app to assist users in improving their sports performance and maintaining their health. Ideal for enthusiasts of sports like golf, tennis, or badminton, this innovation is designed to overcome challenges in skill improvement. The device tracks user activity during play, sending this data to the app. The app then provides personalized advice based on the user’s performance, fostering growth and proficiency. It’s not just for individuals, as coaches, sports teams, and healthcare providers can also utilize it to monitor their clients’ progress. This technology is set to revolutionize sports training, making it more accessible, efficient, and personalized. For the partner organization, this project presents an opportunity to deliver an innovative product that meets a significant need in the fitness market.

MonClubSportif : Détection de contenu toxique

MonClubSportif est une entreprise spécialisée dans le développement d’une application web et mobile dédiée à la gestion d’équipes sportives, accordant une importance primordiale à la santé et à la sécurité des jeunes athlètes. En plus de proposer diverses fonctionnalités pour faciliter la gestion des équipes, l’application intègre une messagerie instantanée destinée à remplacer les plateformes actuellement utilisées par les entraîneurs pour communiquer avec les jeunes sportifs, telles que Facebook Messenger, Snapchat ou Instagram.
Dans les milieux sportifs et scolaires, de nombreux cas de leurre informatique, de cyberharcèlement et de cyberintimidation ont été recensés. L’outil de discussion offre une perspective supplémentaire aux responsables sportifs en leur permettant d’examiner les échanges entre les entraîneurs et les jeunes athlètes. Le projet vise à développer un modèle d’intelligence artificielle basé sur le traitement du langage naturel (NLP), capable de détecter les conversations susceptibles de poser problème, afin d’envoyer des notifications aux
responsables sportifs concernant ces discussions

Des installations pilotes de démonstration pour les systèmes de polygénération en vue de la décarbonisation des zones urbaines et rurales – des nœuds de coopération pour soutenir la prise de décisions publiques sur la base de preuves scientifiques.

Le projet de recherche proposé vise à développer et à évaluer des installations pilotes qui génèrent de multiples formes d’énergie dans les zones urbaines et rurales. Le projet étudiera comment ces systèmes de polygénération peuvent réduire les émissions de carbone et contribuer aux efforts de décarbonisation. En outre, le projet évaluera le rôle des nœuds de coopération dans le soutien des processus de prise de décision basés sur des preuves scientifiques pour le déploiement de ces systèmes. En concevant des systèmes de polygénération optimaux et en impliquant les principales parties prenantes, le projet vise à améliorer l’efficacité énergétique, à réduire l’empreinte carbone et à faire accepter ces solutions énergétiques innovantes par la société. Les résultats attendus sont des conceptions optimisées pour différents contextes, des processus décisionnels améliorés, des réductions mesurables des émissions de carbone et des réponses sociétales positives à la mise en œuvre des systèmes de polygénération.