Development of a Cost-Effective Machine Learning-Based Device for Predicting Nitrous Oxide Emissions in Agricultural Fields

Agriculture and Agri-Food Canada has initiated a program to reduce fertilizer N2O emissions by 30 % from 2020 to 2030 [14]. Accurate monitoring of agricultural N2O emissions is crucial for understanding their environmental impact and implementing effective mitigation strategies. Current research mainly focuses on measuring N2O emissions from the ground. The spectroscopic-based LI-COR sensor is […]

Read More
Umaneo : Chatbot pour le support après-ventes

Développement d’une solution IA pour accélérer la réponse aux demandes de support technique et faciliter l’accès à la documentation technique. Le stage se concentrera sur le développement d’un chatbot, qui utilisera des données structurées pour fournir des recommandations en temps réel. L’efficacité du chatbot sera évaluée par un taux de satisfaction des utilisateurs de 80%. […]

Read More
JUMP Math Digital Resource Development

JUMP Math is an award-winning Canadian charity that believes everyone can be successful at mathematics and envisions a numerate and equitable society for all through mathematics education. The organization provides research-informed and curriculum-aligned resources and training that instill confidence and spark a life-long love of mathematics. As an organization, JUMP Math has 20 years of […]

Read More
New Market Entry Go-to-Market Innovation

Centro Commerce builds first-of-its-kind AI for supply chain. We aim to enter a new market with new technology that we have developed. The new market we intend to enter comprises of ecommerce and omnichannel businesses generating $25M+ in revenue in North America. This initiative requires innovating the marketing strategy and execution to ensure success in […]

Read More
Flow Optimization for Disaster Recovery in Software-Defined Networks

The concept of Software-Defined Networking (SDN) has recently gained significant attention as a practical and flexible way to create programmable networks, where new network services can be deployed or dynamically adjusted with ease. One application of this concept could be in enhancing the reliability and survivability of backbone communication networks. The main objective of this […]

Read More
Word Representation Learning for Detecting Malicious Chat Messages

Communicating with peers online is an increasingly popular activity for children and teenagers, which has led to growing concerns about bullying and other forms of malicious behaviour in online chat rooms and virtual worlds. Although some online forums are patrolled by human moderators, the amount of text being generated is typically too large even for […]

Read More
Story Recommender

An abundance of choice presents users of many online and mobile platforms. Sorting through this to find desirable content is a challenge for users. To assist with this challenge and increase user interaction it is common to implement a recommendation system that can predict what kind of content a user will or will not be […]

Read More
Investigate machine learning algorithms to detect anomalies in computing infrastructures in real-time

Metafor is developing a new class of IT system management solution to monitor computer and application activities, and alert when anomalous behavior occurs. Current commercial tools for anomaly detection use simple statistical rules and thresholds to detect anomalies. These methods are failing for today’s dynamic cloud environment where change is constant. As a result, IT […]

Read More
Narrations augmentées en littérature jeunesse : processus créatifs multimodaux et mécaniques collaboratives

Ce projet vise à documenter et analyser les processus de création et mécaniques collaboratives impliqués par la mise en place de livres augmentés jeunesse, et ce à travers le développement d’une séries d’oeuvres associant animation, texte, musique, et fonctionnalités interactives. Effectué avec le partenaire Les Éditions André Fontaine, en particulier dans le cadre de sa […]

Read More