Industrial Internet of Things (IIoT) is a scalable platform that integrates devices over the internet and runs different services such as energy and facility management easier than SCADA and similar industrial control systems (ICS). These platforms shall be designed securely and manage devices in a safe environment. However, existing IIoT platforms are not secure by […]

The general goal of this project is to improve the downstream tasks by learning better representations of the data, especially multimodal data pairs, like image/text pairs or user/item interaction pairs. The user/item interaction data plays an important role in e-commerce, and analyzing these data can help improve the banking system, e.g., recommendation, risk control, and […]

Videns Analytics aide leurs partenaires à exploiter efficacement leurs données par le développement d’outils informatiques. Ils aident essentiellement leurs partenaires dans la transformation numérique. Grâce à l’expertise de Videns Analytics, les avancées technologiques peuvent être transférées durablement vers des partenaires québécois. Aujourd’hui, la plupart des entreprises, notamment au Québec, utilisent des outils simplistes (p. ex. […]

Softelo est une entreprise de développement de logiciels informatiques. Notre premier logiciel à ce jour se nomme Billmate et c’est sur Billmate que se concentrera le stagaire. Billmate est une application web multifonctions combinant Commerce en ligne, un outil de gestion des relations clients (CRM) et un outil de facturation. Notre outil vient centraliser les […]

It is extremely challenging for clinicians and health researchers to extract insights from unstructured text data at scale. Recently, there has been a significant advancement in Natural Language Processing. Large deep-learning models, most famous of which are the transformers, generate pre-trained embeddings and are developed to extract insights from massive amounts of text. This project […]

Solid State of Mind uses automatic methods to adjust the details of the architectures and learning methods (i.e., hyperparameters) for some of its algorithms. However, this process is often slow and costly in terms of resources and energy. Through this internship proposal, Solid State of Mind wishes to study the possibility of accelerating the automatic […]

Businesses today struggle with manual operations such as paper-based processes and copying and pasting information from one system to another. These manual operations are costing companies hours of unnecessary labour, which trickles down to customers that are expecting on demand services. SOTI has developed a software product called SOTI SNAP that allows anyone to create […]

Unmanned aerial vehicles (UAV) have been deployed in many real-world applications such as payload delivery, agricultural laboring, and aerial photography. Based on GPS-based localization algorithms, these drones have achieved many advancements in industry automation. However, since common GPS receivers do not work indoors, an accurate computer vision (CV) technique is required to resolve the problem […]

The objective of this internship is to develop a Retail Credit Risk Scoring Model utilizing different alternate data sources and this model can give a credit score for people who has limited credit footprint. The intern will work on checking alternate data sources availability, Data Preparation, Feature selection, Evaluating models, tuning the model and documentations. […]

Wig is a wearable device that can be used to help with many aspects of our lives. Since it is in close contact with the human body, it makes it a great tool for human health monitoring. This can be done through the hidden sensors in wigs that keep collecting information about physical and mental […]

Information and data are more accessible and abundant than ever before, but this presents challenges in the face of rising misinformation and mistrust in science. Large-scale datasets or “big data” is particularly suited to a set of statistical analyses called dimension reduction techniques that can reduce the complexity of a dataset while preserving its information, […]

Entity (person or company) matching is an advanced analytics feature used to link entities together by identifying them as being the same entity or closely related entities. This is a powerful feature to augment investigations with additional entities that may be involved in a suspicious case. The goal is to uncover key features that can […]