The advantages of digital data (signal functions) processing have made this technique a standard for processing real world analog data in many areas of life, from music industry to seismology. Stored digitally, the data also become less sensitive to physical limitations than their analog counterparts. Other advantages include straightforward low frequency filtering procedures (e.g. as […]

Representing the collective consensus of global prescriptions of value, financial markets represent a sophisticated and complex system of academic and practitioner study. Quantitative and systematic investment strategies seek to understand characteristics of the market, and design investment strategies to profit off of those market features. A persistent and well-known market feature, known as trend, represents […]

Swallow events classification is significant to improve the performance of swallow detection in digital health technologies. Our work consists of two major contributions: First, we perform data preprocessing techniques and transform the raw sEMG signals into feature vectors before using them to train an ML classifier. It is important for developing a data exploration project […]

The project will consist on visiting the Gravitation and Cosmology research group of the university of Sheffield in order to start a collaboration in a specific area of mathematical aspects of gravitation. The research in this area will: provide insights on quantum theories of gravity, in particular Group Field Theory; help to develop general mathematical […]

Le projet porte sur une application en ligne (QuickCount) dédiée au traitement d’image agricole de drone par l’intelligence artificielle (IA). L’équipe de Drone des Champs a développé des modèles IA permettant différents types de traitement (indice de végétation, détection d’objet) sous forme de code Python. L’entreprise souhaite améliorer les modèles IA, et plus particulièrement la […]

Tastet est une plateforme de recommandations de bonnes adresses ainsi qu’un média spécialisé. Nous faisons rayonner la culture gastronomique du Québec et la soutenons tous les jours. Aucun restaurant, café ou bar ne paie pour apparaître sur notre site, par souci d’intégrité et de transparence. Nous devons donc optimiser nos processus afin de pouvoir nous […]

Scope of work: Develop and implement data science models to identify construction projects relevant to our clients, before they go up for bid. Apply machine learning algorithms to public and proprietary datasets to recommend contract opportunities at as early stage as possible in the building process. Develop and implement logic to be applied to this […]

The overall objective of this project is to develop a medical device that stimulates the vagus nerve in order to modulate the heart in a pre-determined fashion (e.g., strategically speeding it up or slowing it down) without also triggering side effects in other body systems (such as respiration). The interns will be working in partnership […]

This continued project is aimed at using state-of-the-art machine learning, mathematical and AI techniques to create profitable trading strategies in derivative markets. Using our existing framework, we now seek to apply modern algorithms/models with the explicit purpose of implementing fully independent algorithmic trading strategies.

Architected materials are those which have a designed microscopic structure or “microstructure”. They of exhibit material properties which are not attainable by conventional materials. One important field of application for these materials is bone biomechanics, in which the search for suitable bone biosubstitutes is of high scientific and clinical importance. For example, architected materials are […]

The upstream oil and gas sector is the second largest source of anthropogenic methane emissions within Canada. As new policies and regulations are being introduced to reduce methane emissions, Canada’s oil and gas producers and provincial regulators need to be able to quantify the cost-effectiveness of various strategies to reduce emissions and identify the best […]

For an average investor, prior to making an investment, they would conduct the following steps: ideation, comprehension, validation, and execution from different platforms – each servicing a specific need and is overcomplicated for the average user. On top of that, it would take months before someone found their suite of tools, platforms, and brokerages they’d […]