Driven by cloud based applications and services, there are substantial worldwide research and commercialization efforts that are being directed toward improving the capacity of intra- and inter-data center networks. Intra-data center networks operate in the O-band (1260-1360 nm) over distances ranging from 0.5 m to 20 km, and inter-data center networks operate in the C-band […]

Source code is what programmers write as instructions to the computer to execute to complete a desired task. All operating systems and applications on a computer or a mobile device is a runnable version of a compiled source code. Experienced programmers can easily browse and understand source code in different programming languages because they have […]

How to build a medical education ecosystem and improve the learning outcome? Currently a medical education system based on mixed reality is missing and bad user interfaces can leave students confused and struggling instead of learning efficiently. The goal of this project is to leverage mixed reality technology, develop a medical education system, and make […]

This proposed project aims to enable computers to read and understand a document and answer questions related to the documents by using Machine Reading Comprehension technology. In other words, the goal of the project is to equip computers with a similar reading comprehension ability as human beings. The technology can be used in many contexts, […]

Ciena is a Canadian company leader in engineering and manufacturing networking systems and devices. The company has around 5,000 operable products in its portfolio. The vast majority of Ciena products generate logs during the boot up and the mission mode operations from the various tasks running on their real time operating systems. The company wants […]

The main goal of this proposed project is to develop a novel bilingual topic model, which explicitly models the word co-occurrence cross-lingual in document-aligned comparable data using a novel merging and shuffling strategy, called CL-BTM. Given a document-aligned multilingual corpus, CL-BTM can be employed to extract latent cross-lingual topics that optimally describe the observed data […]

Recent advances in using machine learning for object recognition and image manipulation have resulted in a new and emerging market for mobile applications that use machine learning for creating a variety of new artistic expressions. This research will develop a framework for performing machine-learning-based photo and video manipulation on mobile devices with the goal of […]

Avcorp Industries provides the world’s leading aircraft manufacturers with supply chain solutions and repair support. Yield optimization, predictive maintenance, and equipment calibration are needs that are widespread throughout the manufacturing industry. The root cause of failures in product testing is often difficult to determine particularly when the failure signals are sparse relative to the available […]

Given the current global environmental crisis, developing sustainable solutions to enhance or replace our current agricultural practices is critical: the agricultural sector exerts important environmental pressure through its aggressive land, water and pesticide usage combined with the ever increasing demand on food supply. Mitigating this problem requires developing more sustainable and efficient agricultural techniques. Precisely, […]

In partnership with KeyLeaf (KL), Saskatchewan Polytechnic (SP) is developing a system for the bioprocessing industry that will interface through a mobile app, collect data on a NoSQL database, and use analytics to mine it for new insights into all processing aspects. The Engage phase of the project will commence in tandem with a MITACS […]

Assessment of surgical data from an operating room is a complex process that may require significant resources such as expert input and advanced technology. Automation brings a considerable opportunity to greatly reducing these significant resource requirements – e.g., using computer vision software to detect clinically relevant actions during surgery. However, those detections should be interpretable, […]

State-of-the-art forecasting: Demand planning is a critical part of a business’ operations. Traditional approaches to forecasting use statistical methods to predict future demand from past transactions, but do not take into account contextual data. However, there are good reasons to believe that contextual data – such as weather, events, product descriptions, sentiment analysis (from reviews, […]