Quantum computers are believed to offer significant advantages over classical computers, specifically in solving non-deterministic polynomially hard problems. One of the known schemes of quantum computation is quantum annealing, which is suitable for solving many types of hard optimization problems with a wide range of applications including machine learning, finance, security, and healthcare. D-Wave Systems […]

D-Pace, Inc. supplies high-quality precision equipment and services to the particle accelerator industry. D-Pace has identified a market for positively-charged helium ion sources. Cyclotrons require positive helium ions to generate radioisotopes as such as Astatine-211 for radioimmunotherapy, and Sn-117m for imaging and therapy. Complex and costly Electron Cyclotron Resonance (ECR) ion sources are currently used […]

Historiquement, la science actuarielle a développé des techniques de modélisation appropriées pour la tarification, le provisionnement et la gestion des risques pour ne nommer que quelques domaines. Depuis quelques années, toutefois, de nouvelles techniques potentiellement prometteuses sont disponibles et commencent à émerger dans l’industrie de l’assurance. Portées par l’engouement de certaines communautés scientifiques, l’apprentissage statistique […]

Electrification of transit vehicles is a part of Ontario’s long-term strategy to reduce transportation-related GHG emissions. However, transit agencies and utility/local distribution companies face significant technological and operational hurdles in integrating “off the shelf” electric bus technologies. This project aims to overcome the social and technical challenges associated with a lack of international standardization for […]

The agriculture industry is a labour intensive industry. Using a reliable method of plant monitoring can greatly help farmers to reduce their labours and consequently their production costs. Creating an accurate 3-D model of each plant or vegetable provides farmers with more information about the growth stage of the plant which helps them to make […]

In this research, we propose a model learning documents to fixed-length embedding vector space. This is meaningful, because in vector space, we can find similar documents or measure the relations between documents by simple linear algebra calculation. One of state-of-the-art methods is to apply deep Convolutional Neural Network on language sequences and thus learn different […]

The “Intelligent Camera Switching” research project’s goal is to understand how multiple cameras can be utilized in a meeting space to ensure that remote participants have the best view of the people and activities that take place in the room. This “Best view” should be thought of as providing the best context for activities. A […]

To be able to see an object in action, one requires to ‘’see’’ faster than the object itself. Photographing a F1 car going full speed requires a really fast camera shutter, for example. For electrons in molecules and state-of-the-art material, this mean having access to laser flashes lasting a few millionth of a billionth of […]

We are conducting research on using techniques from Artificial Intelligence (specifically Machine Learning, Reinforcement learning, and computer vision) to automate the ability of a robotic arm equipped with a hand-like gripper to pick a wide variety of items. The robot uses the visual scene, provided through cameras, in order to choose which item to pick, […]

Blockchain is an emerging technology that has the potential to change the way financial participants transact with each other. It enables direct transfer of value and financial assets between participants over networks without the need for a central authority (internet of value). It does this by combining the functionality of different technologies – distributed systems, […]

Using web crawling technology in coordination with state of the art machine learning techniques, the project aims to mine useful, structured information about the world’s suppliers from the web. Recent advances in artificial intelligence have increased the viability of such autonomous systems for extracting coherent information from arbitrary human-produced content. By leveraging these technologies, our […]

The Ciena Environment for Network Innovation (CENI) is a research project at Ciena which looks in to future computer communications networks with special focus on increased capacity (bandwidth) and control (SDN, or Software Defined Networks). This project operates an international testing network that connects Ciena’s Ottawa research facility to university based network researchers in Chicago, […]