With the fast-growing size of machine learning datasets, it has become increasingly important to store them in a reliable and distributed manner. Large scale distributed file systems such as GFS, HDFS and Amazon S3 have the capability to store large scale of data reliably. However, these distributed file systems have an intrinsic shortcoming: they provide […]

Processes are important concepts in modern society since they control and standardize the interactions between businesses, consumers, governments and other organizations. However, the rise of knowledge-based industries such as financial services, healthcare, advanced manufacturing and software development have produced unstructured and knowledge-dependent processes. These Knowledge Intensive Processes (KIPs) KIPs range from partially structured to unstructured […]

In a few words, this is a fintech data analysis project. The idea is, given temporal data of financial nature, to build algorithms that predict its evolution over time. For instance, the data could be certain assets prices, or customer buying history. The objective would be to respectively predict this asset price in a close […]

The objective of the project is to design a system that is able to generate context-wise reasonable and meaningful responses to open-domain conversation queries. In open-domain conversation generation, the retrieval-based methods and neural network generative models are two main approaches; there are also some recent research about improving the context consistency of conversation generation. In […]

Mannarino Systems & Software Inc. is currently developing M-RTOS, which is a Real-Time Operating System (RTOS), designed specifically to meet the requirements of the aeronautical industry’s ARINC 653 Avionics Application Software Standard Interface specification, and supporting a wide range of avionic systems. Throughout this phase of the project, the Concordia partner will provide a synthesis […]

Accurate network traffic identification would assist network operations and management teams effectively on many different network tasks such as managing bandwidth and ensuring security. The demand for network management methods that optimize network performance and provide quality of service guarantees has increased substantially in recent years. As new social networking and voice over internet protocol […]

Smart home devices with artificial intelligence (machine learning and deep learning) will change our lifestyles in the near future. The objective of this project is to develop an artificial agent, which will power the smart light switches produced by ecobee. The artificial agent, a machine learning program, will use the data collected by the sensors […]

The Pungle payments-as-a-service platform delivers low cost, real-time, friction free business disbursements, peer-to-peer (P2P) transfers, and B2B supplier payments. Pungle’s mission is to enable businesses with a digital payments platform that provides real-time disbursements and transfers. The problem that arises with digitization of business payments is higher risk for fraud due to its electronic nature. […]

Nowadays a corporation’s public image plays a major role in that company’s decisions and financials. This project involves predicting fraud and errors within the financial statements of publicly traded companies. The goal is to incorporate information such as press releases and industry media coverages to provide an insight to these companies under audit and their […]

Serving as the most widely-used body part for communication, hand is a very important tool for human to interact with the world. Especially with the continuing development of virtual reality and augmented reality, hand pose information has gradually become an indispensable component for improving users’ experience in interacting with computing devices. Therefore, this project aims […]

Surgical Safety Technology aims to improve operating room safety by capturing and analyzing operation videos. Usually, operating room traffic (like people displacement) has a huge impact on surgery. Unnecessary movements can cause distraction of surgeons and pollution of the sterile environment. This project applies computer vision models to detect and track people movements in the […]

Addictive Tech Corp is a fast-growing ad-tech company. They use real-time advertisement bidding software which is massive and sophisticated. The actual dynamics involved in any given bid are complex and hard to predict. This makes writing test logic for such a system cumbersome and catching all corner cases next to impossible. Because of the scale […]