With the growth of the Internet, the amount of scientific data and information available to research teams has been increasing exponentially in the past two decades, which results in significant information overload. Approaches for manual knowledge extraction and curation does not scale up in practice. The main objective of the project is to create an […]

Autonomous cars are one example of a compelling next-generation artificial intelligence technology. In order to safely navigate through the world, cars must plan long-range routes and short-range paths, perceive the world around them, and act according to a safety-first policy that takes into account the intent of agents in their surrounding world. While not strictly […]

Poor waste management poses a threat to human health. Apart from being unsightly, it pollutes the air, has an adverse influence on water bodies, and depletes the ozone layer when burned—all of which contribute to climate change. Conventional waste management strategies are frequently used inefficiently. Newfoundland-based, SmartBin is a startup enterprise making rapid product development […]

Engaging with the Centre for Ocean Ventures subsea platform, the Stella Maris, this project provides sensor manufacturers with descriptive analytics of their sensor data. As brand new data is collected in conjunction with other sensors, a range of high-level analytics will identify future exploration and research opportunities for sensor companies.

KnowMeQ Inc, a future of work online skills assessment is working with the University of Guelph to establish a candidate recommender tool which reduces bias. This is the first phase of deliverables of the relationship, wherein the groups are building towards an ethical AI algorithm and an Adaptability Quotient (AQ) composite measure.

The general objective of this project is to perform a “technology bakeoff” to determine which technical solution will best suit the project in terms of scalability, speed and cost. The data related to research metadata is currently stored in Dynamodb using a single table design. Dynamodb is excellent in terms of transaction processing, but is […]

LatenceTech offers a cloud analytics and monetization solution for cellular networks with a special focus on ultra-low latency connectivity. Using SAAS and AI, our solution helps mobile operators, telecom vendors and advanced industries to track, predict and secure the new benefits of 5G cellular technology. The project consists in performing an analytical decomposition of the […]

Our modern society can no longer be thought without image and media technologies, these technologies holding a central place in our everyday life. Progresses of display devices in conjunction with the capabilities of modern GPUs result in an ever-increasing demand for producing rich and detailed 3D graphical contents, i.e., geometric objects augmented with textures for […]

Cryptocurrencies are changing the way we conduct business and how we pay for products and services. Investors are increasingly looking to adopt cryptocurrencies in their practices. However, cryptocurrency trading can be perilous, as many risks are present, ranging from technical and legal risks to market risks. Understanding the concepts around cryptocurrency, like their mining and […]

IRISNDT deploys customized workflow productivity enhancement apps that are used by technicians in the field when performing Non-Destructive Testing (NDT) and mechanical work. This project will leverage expertise in AI at the University of Alberta to develop and deploy a suite of Data Science and Analytics tools to complement IRISNDT existing capabilities. The project will […]

Grouping images into different themes is a non-trivial step in the photobook curation. In this work, we aim to propose a novel image theme recognition method, and find unique attributes related with theme in given images.

The proposed project will extend the AI4Buzz (http://ai4buzz.ca/) platform in three ways: social-network analysis, real-rime streaming data analysis, and statistical hypothesis exploration and testing. The platform has been developed in collaboration with CECN through a previous MITACS grant, entitled “A Toolkit For Analyzing Online Conversations for Solutions Based Policy Development” led by Dr. Lefsrud.