The learning of bimanual skills is very important in spine surgery since errors can result in poor patient outcomes. Surgical trainees develop these skills by watching expert surgeons do operations and as they acquire more experience, they are given more responsibility to perform complex operations. The limitations of this learning method are the low numbers […]

L’internationalisation des nouvelles entreprises technologiques et plus particulièrement constitue un enjeu crucial pour leur viabilité sur le long-terme. En effet, la demande limitée voire inexistante sur leur principal marché, les poussent à cibler des clients à l’international. Or, l’obsolescence de leur technologie ainsi que la forte compétitivité à l’international augmentent le risque d’échec de jeunes […]

La culture biologique exige de ne pas utiliser notament de fertilisants d’origine synthétique et de pesticides. Cependant afin d’accroître la productivité de leurs cultures, les producteurs agricoles/horticoles doivent ajouter des produits d’amendement des sols. Les algues marines sont abondantes et constituent une source d’oligoéléments et de molécules bioactives. Le projet de recherche consiste au développement […]

The proposed research aims to assess the resilience potential of aquatic and land plants in the floodplain as a function of the land-use gradient. The experimental approach aims to measure the biodiversity and germination rate of communities of different rates of aquatic and land plants that are found in the soil after the waters retreat. […]

CAPSolar développe un module à énergie solaire unique en son genre, conçu spécifiquement pour les véhicules électriques à basse vitesse. Ce système permet de prolonger l’autonomie des véhicules ainsi que la durée de vie de leur batterie de manière à optimiser la gestion des flottes commerciales de ce type de véhicule et réduire leur empreinte […]

Le processus de planification des approvisionnements dans le secteur forestier est souvent effectué manuellement, basé sur les expériences et les intuitions des planificateurs. Cependant, cette méthode limite la quantité de variables, d’objectifs et de contraintes dont il est possible de tenir compte. La grande diversité des paires origine-destination et des produits, le morcellement du territoire […]

LatenceTech offers a cloud analytics and monetization solution for cellular networks with a special focus on ultra-low latency connectivity. Using SAAS and AI, our solution helps mobile operators, telecom vendors and advanced industries to track, predict and secure the new benefits of 5G cellular technology. This project consists in creating ML Models to perform near […]

The internship project will contribute to Baastel’s overall ambition to use AI modelling techniques in the monitoring and evaluation of international development projects, specifically in its climate change and disaster risk reduction practice. Baastel’s objective is to increase the amount of public and private funds available for climate change mitigation investments, in order to help […]

Cannabinoid uniformity plays an important role on the quality and marketability of cannabis. Several strategies to optimize cannabinoid uniformity have not been extensively researched to date. The objective of this study is to evaluate lighting and defoliation strategies to maximize yield and uniformity of cannabinoids throughout cannabis plants. A randomized block design will be used […]

The proposed research will develop a reliable analytical method for the quantitative analysis of grain grading factors for Canadian Western Red Spring wheat using near infrared spectroscopy (NIRS). Most commercially available near infrared spectrometers used in agricultural applications require significant expertise, a large footprint, a controlled environment, and are prohibitively expensive. The NIRS technology is […]

NeuroBotIA aims at tackling problematics of manufacturing SME such as the shortage of qualified workers. Currently, Canada is facing a labor shortage of 39% which will increase overtime due to younger generation interest in professional job and population growth decrease. Therefore, NeuroBotIA will develop technology to alleviate labor shortage using intelligent robots. This project aims […]

The purpose of this project is to make use of the AI algorithms to enhance the energy consumption related to indoor heating ventilation and air conditioning (HVAC). The project involves collecting data using wireless sensors network, developing thermal dynamic model of a building, and developing Model predictive control (MPC) solver that reduced the energy consumption. […]