Going Beyond RGB-Based Machine Learning Datasets for Digital Agricultural Applications

This project represents the next innovative leap by the TerraByte research group at UWinnipeg and the Enterprise Machine Intelligence and Learning Initiative (EMILI). The focus main thrust of this work is to generate data that will enable machine learning approaches to digital agricultural applications. The data generated from this project includes multispectral, hyperspectral, and 3D […]

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Development of Interactive, Online Quantum Computing Educational Material

In this project, the intern will work closely with the staff of Xanadu, a quantum computing company, to develop educational materials intended for an audience who are comfortable with classical computer programming, but have no prior knowledge or experience with quantum physics or quantum computers. By using interactive, web-based instructional materials, and animated graphics, it […]

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Automated Assessment of Forest Fire Hazards

The proposed project is to develop a Deep Reinforcement Learning (DRL) model capable of using Light Detection and Ranging (LiDAR) data to automatically analyze whether there is a risk of forest fire due to vegetation management around electric equipment. The model automatically classifies points in a LiDAR scan to determine whether there is direct contact […]

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BETSY – Bovine Expert Tracking and Surveillance

OneCup provides cattle management solutions to the livestock industry. Our AI is called BETSY – Bovine Expert Tracking and Surveillance. Using artificial intelligence, we put a rancher’s skillset into a device the size of a small book. With several types of cameras, BETSY can ID and track cattle activity 24×7. For example, she can track […]

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Differentially private models for detection of previously seen data

Jumio is constantly facing fraudulent attacks of repeated nature when a series of similar images with minor changes are submitted. To be able to respond effectively it is necessary to be able to learn previously seen fraudulent data. At the same time we have to deal with very sensitive private data and therefore it’s becoming […]

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Elaboration d’un système intégré de management des processus de production industrielle

Ce projet de recherche vise à tester des nouveaux modèles d’intégration des systèmes et de planification, de simulation, d’anticipation des opérations au sein de l’entreprise Sotrem-Maltech. Les retombées attendues sont de deux ordres : dans un premier temps l’entreprise bénéficiera d’une base d’information unique et partagée au sein des différents postes fonctionnels, dans un second […]

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Indoor object detection for personal assistant for the blind

Humanware develops since 2003 a GPS-based dedicated device which helps a blind person to orient himself and guide him to his destination. In this project, we want to enhance the user’s experience by providing a better understanding of the environment by interacting with the device in a more natural manner. This project addresses two types […]

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Development of a microbiome relevant image-capture food analysis tool.

Phyla’s vision is to be the world’s first integrated solution for gut health through a digital health platform for those affected by Inflammatory Bowel Disease (IBD) and Irritable Bowel Syndrome (IBS). Phyla’s platform combines an at-home gut microbiome (intestinal bacteria) stool testing subscription and a mobile application for self-reported disease and lifestyle parameter tracking. It […]

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Deep learning models for compound design

Traditional drug development strategy is costly, tiresome, and labor-intensive. In the last decade, artificial intelligence (AI) technologies have shown promising results to overcome some of these limitations. However, these computational technologies still cannot efficiently generate novel drugs with expected properties for treating specific diseases. Here we will apply new generation of AI frameworks to design […]

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ChainCert platform: Verification of authenticity of certificates by exploiting hybrid Blockchain technologies

Blockchain is a well-known immutable, transparent and anti-counterfeit platform. As such it can be appropriate for submitting certificates for validation and safe-keeping. However, because of its requirements for complex and heavy computations for enhanced security and verification of each submission in the network, in this project, we will first study both public and private Blockchain […]

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Augmentation de données et optimisation de l’espace latent d’un auto-encodeur variationnel (VAE) pour la détection de défauts et le pronostic des alternateurs hydrauliques

L’objectif du projet est d’automatiser la reconnaissance des signaux acoustiques et vibratoires d’une part, et des signaux de décharges partielles d’autres part, et ceci à l’aide d’un modèle d’apprentissage profond. Cette reconnaissance est la première étape du développement d’un modèle de pronostic et de suivi de l’évolution de la dégradation des alternateurs. Ces signaux sont […]

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AI-enabled molecular search database

The project aims to facilitate the research and development of new drugs by applying machine learning and deep learning to further develop an AI-assisted molecular search database. The company has an internal dataset holding more than a billion molecules. Two main challenges are keeping the molecule catalog updated and Searching for the desired molecule or […]

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