This research project aims to improve epilepsy treatment by developing a robotic-based method for testing wearable seizure detection devices. The project will create a robotic system that can simulate seizures, providing realistic data to help refine and test machine learning algorithms for detecting seizures more accurately. The goal is to address the limitations of current […]

Le changement climatique représente l’un des plus grands défis auxquels nous devons faire face. Ce phénomène est causé par le réchauffement de la planète en conséquence des concentrations élevés des gaz à effet de serre (GES) dans l’atmosphère liée aux activités humaines telles que l’utilisation des combustibles fossiles dans le secteur industriel. Les acteurs métalliques […]

Advanced persistent threat (APT) groups, as well as those sponsored by a nation-state, often aim to gain undetected access to a network and then remain silently persistent, establish a backdoor, and steal data, as opposed to causing damage. APT groups use different tactics, techniques, and procedures (TTPs) at various stages of cyberattacks. The continuous and […]

To conduct research and provide a feasible solution to create an AI-based script builder to automate the company’s pay-by-web transaction process. The pay-by-web transaction process includes many steps. These are steps such as extracting data from different sources and monitoring email inboxes as well as verifying payment information. The process also involves identifying the correct […]

This landmark project was built by Dr. Jessica Dolan with leadership at the Indigenous organization Plenty Canada, and the Conservation Through Reconciliation Partnership team at University of Guelph. Working closely in collaboration with Haudenosaunee and Anishinaabeg educators and culture-bearers, the team is combining plant biology surveys in the Greenbelt region of Southern Ontario, with historical […]

Lerna AI helps app developers to better understand their users and optimize their campaigns. The company’s mobile library optimizes the timing of user engagement, for example by identifying when the right moment is to send an up-selling notification. This is achieved by seamlessly deploying privacy-preserving federated learning on the mobile phone in order to learn […]

The research project aims to develop a portable, wireless interface for implantable medical devices that monitor brain activity in patients with conditions such as epilepsy and motor disorders. This new software will allow for continuous, unrestricted measurement of brain activity, enabling doctors to collect high-quality data in patients’ natural environments. The interface will wirelessly transmit […]

A key requirement for returning to societal and economic normality is the evaluation and surveillanceof SARS-CoV-2 infection and immunity. The proposed technologies described herein, enable a safe and effectivediagnostic test that can quickly provide an easily interpreted result for SARS-CoV-2 immunity, all without complicated equipment, expensive reagents, or high-level biosafety containment facilities. Such a system […]

Fraud prevention tools play a critical role in real estate transactions. Even though digital fraudsters employ all newly available tools to find loopholes in the existing technological ecosystem, the information systems involved in real estate transactions typically lag behind in terms of digital identity verification and management. In order to facilitate industry adoption of the […]

Many components of education, including those to support teacher and student learning, are now online and fully digital. But to make productive use of these data sources, the field needs to have a better understanding of what teachers and students do and how they respond to online assessments designed to build and measure complex constructs. […]

Le projet vise a developper des strategies permettant de combiner plusieurs modeles d’intelligence artificielle (IA) etudies au sein de l’ecosysteme d’intelligence artificielle de l’equipe de prevision de la demande de !’unite prevision des apports et de la demande d’Hydro-Quebec. Ces modeles combines permettront d’obtenir de meilleures predictions a court terme de la charge sur le […]

Understanding the current panorama of threat actor groups worldwide is critical to building efficient cybersecurity programs. Information about threat actor groups’ motivations, tools, tactics and techniques they use to attack, and the type of targets they have in their sights provide valuable information to cybersecurity teams. To achieve this goal is essential to generate intelligence […]