The ability to quickly check if robot poses are not in collision with environment geometry is critical for robot applications that rely on forward kinematics, inverse kinematics, and path planning. It has been shown that during path planning 99% of the time is spent performing collision checks between the robot & its environment. Improving collision […]

Tuberculosis, caused by Mycobacterium tuberculosis (Mtb) is the second leading cause of mortality among infectious diseases. Mtb extensively remodels its cell-survival dynamics inside the host including the process of its division. Hence it is imperative to understand mycobacterial cell division. It is known that Mtb DivIVA protein called Wag31 is essential for cell elongation and […]

La perte d’engins de pêche en mer représente un danger pour la vie marine, en particulier pour les baleines noires qui risquent de s’emmêler dans les cordages. C’est pourquoi la détection des engins de pêche abandonnés est une préoccupation majeure pour les scientifiques et les autorités maritimes. Les avancées dans l’intelligence artificielle offrent une solution […]

Today, quantum computers of any architecture still operate in the noisy intermediate-scale quantum (NISQ) regime, with systems composed of tens to hundreds of noisy qubits that are not protected from errors. To meaningfully solve challenging problems from industries using quantum computers, we need to make a system that is large enough in scale and robust […]

Inspired by the success of deep learning approaches in human biomedical applications, applying deep learning in veterinary, specifically equine, diagnostic imaging is attracting increasing interest. The objective of this research project is to achieve automatic deep-learning based equine image analysis and assessment, including 1) automatic assessment of upper respiratory tract of racehorses from endoscopy videos; […]

Civonus Inc. is developing an internet based, transparent, asynchronous policy-making process for governments, public institutions, and civil society organizations/consultants who advise governments on policy issues, to use to improve their policy-making process. It is curated to produce deeply engaging, consensual, sustainable, equitable, inclusive, strategic, evidence informed policy-making. This project is to develop, in stages, MVP, […]

Propel Impact will be working with Mitacs interns across two universities to support social innovation and impact investing organizations in Canada.

Dans le cadre du développement de son offre de services, ADDERE Service-conseil veut élaborer un parcours structuré d’accompagnement en changements climatiques sous forme de cohorte pour les entreprises, le tout dans le but d’accélérer la transition carbone des entreprises au Québec. ADDERE Service-conseil préfère travailler en cohorte (groupe d’entreprises) car cela mousse la motivation des […]

The state-of-the-art of building energy management systems uses model predictive control to compare alternative control strategies prior to implementation. Climate conditions dramatically influence the control strategy selection. These rely on conventional climate forecasting that provides coarse resolution with respect to both time and space (e.g. 1 hour, 50 km). The industrial partner Green Power Labs […]

Mitacs Accelerate has funded the first year of the Precast Design Studio. In this second and third year, the Mitacs intern, Chadia Uwamahoro, will conduct experiments on conventional horizontal connections to understand their cyclic behavior. The test setup and the experimental data will advance the scientific knowledge on the cyclic response of precast concrete shear […]

Ce projet a pour but d’améliorer le contrôle de qualité et l’entretien des gros équipements de production d’énergie électrique, soit les grands hydro-alternateurs. Une des parties problématiques de ces équipements est l’enroulement situé dans la partie fixe de la machine, soit le stator. Ce dernier est en effet soumis à des importantes contraintes électriques, mécaniques […]

Hydro-Québec has found that welding flaws induced during the manufacturing of hydraulic turbine runners are prone to fatigue damage. To avoid catastrophic failure, they developed a life estimation model that relies on flaw detection and sizing through non-destructive testing (NDT) inspection procedures. Probability of detection (POD) gives the probability or likelihood that a flaw of […]