Having robots be able to conduct visual searching of objects in their environment is an important step towards building intelligent robotic assistants. Automatic object searching is a useful tool for social, service, and search and rescue robots; such robots would be required to reason about likely locations of an object specified by a user. However, […]

Les outils basés sur l’intelligence artificielle sont de plus en plus utilisés dans des contextes d’inspection d’infrastructures, où un expert devait normalement passer beaucoup de temps à manuellement visiter puis annoter les portions problématiques. Un problème persiste toutefois pour leur applicabilité : la quantité de supervision requise pour entraîner ces méthodes d’IA. Le projet proposé […]

L’intelligence artificielle (IA) commence à être déployée dans le domaine du contrôle non destructif. Il s’agit d’analyser, par intelligence artificielle, de grandes quantités de données, notamment ultrasonores (ce sont des échographies de matériaux métalliques, composites ou autres), pour y détecter des défauts de fabrication ou d’usure (par exemple des trous, de la corrosion, etc.). L’application […]

The proposed project is to research and develop a user review analysis system for mobile games using machine learning and natural language processing techniques. Traditionally, user review analyses are done by humans, which is inefficient and relatively slow. The project will involve research in the specific areas of topic modeling, sentiment analysis and opinion spam […]

Capturing high quality images is a major selling point of modern flagship smartphones. However, due to physical constraints on sensor size, capturing a good image with a mobile phone is challenging especially in low-light conditions. To obtain a bright image, one has to use a long exposure or digitally gain up a short exposure image. […]

In AI safety, compliance ensures that a model adheres to operational specifications at runtime to avoid adverse events for the end user. This proposal looks at increasing the suite of compliance testing and verification tools available to ML practitioners by implementing two more tools, CGDTest and Goose. The overall goal is to develop both proposed […]

This project aims to explore ideas from a machine learning technique called Fibered AutoEncoders (FAE) for molecular representation learning. This technique will allow us to perceive the molecular space through a topological lens using the concept of fiber bundles, and it will give us a disentangled multi-level encoding of molecules. Since the molecular space is […]

With approximately 1 million amputations performed per year worldwide, the need for prosthetics has never been more prevalent. In particular, bionic prosthetics provide more freedom and assistance to amputees as it allows them to manipulate their prosthetic with their minds, feel their surroundings, and mimic human-like movements. Unfortunately, the cost of bionic prosthetics can range […]

This project will give the intern the opportunity to explore the current state of the educational support network within Asian academia, which complements the intern’s knowledge and experience on the equivalent in Canada. By analyzing the new digital resources in terms of their purposes, impact and development processes, the intern will provide the organization with […]

Streaming video applications in the home (video doorbells, security cameras, babycams, robot vacuums etc.) have started to become commonplace. Automatically detecting events of interest in such video streams can help to reduce manual effort from users in sifting through false alarms, enhance user safety, comfort and satisfaction, as well as enable new applications in areas […]

To assist Vope Medical achieve clear vision in surgery, Zishen will be working creating and enhancing a defogging algorithm in accordance with best practices in the relevant literature and optimizing it so it can be run in real-time to enhance contaminated surgical image feeds. Processes will be documented so they can used to track what […]

Today, there is an abundance of social media and user engagement platforms. However, they are disorganized and unverified which creates unreliable engagement data. To explore new methods of creating an engagement platform, Veras Technologies Inc. will work with intern Md Hasan Tareque to research and develop a verified and secure engagement platform that leverages blockchain […]