When construction equipment digs, this generates a complex set of physical interactions between the machine and the soil. Being able to accurately simulate such interactions in real-time opens the door to improved operator training and even adaptively-tuned digging operation that optimize the energy-efficiency of construction equipment. With recent advanced in artificial intelligence (AI), this is […]

Dialogue is Canada’s leading telemedicine provider, founded to improve well-being by using technology to deliver excellent care. Dialogue is a pioneer of virtual health care dedicated exclusively to organizations that want to improve the health and well-being of their members and families. We provide effective health solutions through outstanding health care experiences and a focus […]

We present a method for automatically estimating the lighting conditions from a single image. As opposed to most previous works which proposed methods that deal with individual aspects of the problem (e.g. indoors vs outdoors, parametric vs non-parametric), the proposed method unifies these ideas into a single, coherent framework. Our method will automatically estimate both […]

Transplantation is the preferred treatment for patients whose kidneys have failed. There is an ever-growing gap between patients in need for a transplant and available donors. In response to this need, there has been an increase transplantation of donors who experienced circulatory determined death (DCD). However, many potential DCD donors fail to end up in […]

CannSight Technologies is an expert in impairment detection technology development. With a solid customer base and protected screening technology, the company was poised to enter the market of workplace impairment detection by mid-2020. However, the COVID-19 pandemic cost the company to lose its customers’ interests and investment opportunities. As the company is flexible and the […]

Effective anti-viral therapies are required to treat individuals infected by the SARS-Cov-2 virus, the causative agent of COVID-19. So far, only repurposed drugs have been investigated as treatment to fight SARS-Cov-2 infection. The goal of the project is to use our custom yeast-based screening platform in collaboration with the artificial intelligence algorithms of InVivo AI […]

Industry 4.0 is the main strategy to strengthen the competitiveness of the manufacturing sector over the next years. Simulation is a key enabling technology of Industry 4.0, supporting the development of planning and exploratory models to optimize decision making, the design and operations of complex and dynamic production systems. It may also support companies to […]

By combining the information contained in the visual, audio and text content of videos, it is possible to extract complex information about their content. It’s then possible to analyse a query from a search engine to find the video segments that best matches this query. During this project, the intern will be using state-of-the-art deep […]

The goal of the project is to facilitate the research and development of new drugs using machine learning. More specifically, exploring new techniques to model molecules and how they can be represented. Doing so will involve training deep learning models on multiple small datasets with the objective of improving the generalization performance on new tasks. […]

Dialogue is a virtual healthcare provider targeted towards the corporate environment. The service promotes employee wellness and productivity by connecting users to qualified healthcare professionals through an online or mobile application. The Dialogue service is increasingly being enhanced by AI techniques to improve user experience and streamline the procedure. These improvements include: • A Natural […]

This research project will combine computational modeling, machine learning (ML) algorithms and whole-brain neural recordings (magnetoencephalography, MEG) to shed light on how the mechanisms underlying dynamic decision making are implemented in the human brain. Specifically, we will use the statistical framework of information theory to characterize inter-areal neural coupling and the direction of information flow […]

The project aims to extend worksite safety of construction projects at Hydro-Quebec (HQ) using computer vision and a Real-Time Location System (RTLS). The case study is a substation construction project near Montreal. The main safety risks that will be targeted in the case study are related to equipment mobility (struck-by accidents) and not wearing Personal […]