OneCup provides cattle management solutions to the livestock industry. Our AI is called BETSY – Bovine Expert Tracking and Surveillance. Using artificial intelligence, we put a rancher’s skillset into a device the size of a small book. With several types of cameras, BETSY can ID and track cattle activity 24×7. For example, she can track […]

Humanware develops since 2003 a GPS-based dedicated device which helps a blind person to orient himself and guide him to his destination. In this project, we want to enhance the user’s experience by providing a better understanding of the environment by interacting with the device in a more natural manner. This project addresses two types […]

The project aims to facilitate the research and development of new drugs by applying machine learning and deep learning to further develop an AI-assisted molecular search database. The company has an internal dataset holding more than a billion molecules. Two main challenges are keeping the molecule catalog updated and Searching for the desired molecule or […]

Molecular generative methods are at the heart of our computational platform. We use cutting edge deep neural networks in order to generate unseen molecules based on existing conditions or molecular space. Since external projects typically require different architectures, we are continuously expanding our generative methods toolbox with new approaches. This project aims to augment our […]

For organizations that use the Internet, their employees will visit thousands of websites every day. However, there is a chance that the destination website is not safe to visit. Such websites may be fraudulent, phishing, or even data-stealing related. On the other hand, determining if the target website link is suspicious or not could help […]

I am working on reinforcement learning for finance based on deep mathematical knowledge and the host supervisor is working on financial engineering, reinforcement learning and Markov decision process. We will study deep reinforcement learning for stock market trading and for portfolio management. The goal is to find a practical deep reinforcement agent to manage stock […]

I will apply the cycle method on story visualization. And I will apply the technique about learning unpaired data, unsupervised learning to improve general performance.

The proposed project is part of a large-scale collaboration between SFU’s Behavioral and Cognitive Neuroscience Institute (BCNI) and Fraser Health Authority(FHA) in the domain of AI applied to clinical electroencephalographic (EEG) scans recorded and evaluated in the process of diagnostic workup in FHA’s public hospitals (n>40’000). The key goal of the SFU/FHA collaboration is to […]

This research aims to generate and optimize optimal tool-path(process path of robot) by learning data on kinematics and dynamics properties required for the machining process using multi-axis robots with Artificial Intelligence(AI). Based on the end-effector of the robot, a new approach is proposed to optimize tool path in drilling or milling processes and to develop […]

CONTEXTE : Nos recherches proposent le développement de méthodologies statistiques et de leurs applications aux données réelles issues de disciplines très différentes. A l’heure actuelle, les scientifiques ont régulièrement accès à des données mesurées sur plusieurs ensembles (blocs) de variables pour le même ensemble d’observations. Cette structure de données est connue sous le nom de […]

Le projet repose sur une étude du droit applicable aux “fake news”. Il s’intéresse aux différentes approches prévus par les droits français, américain, britannique, allemand, italien, québécois et canadien et sur les différentes approches de la réglementation mobilisées dans la lutte contre la désinformation (législation spéciale, jurisprudence, régulation laissée aux plateformes, mise en place de […]

Dans nos sociétés hautement connectées, les données personnelles des citoyens peuvent être utilisées par diffèrent types d’acteurs politiques aux motivations diverses. Ces données peuvent être utilisées par les partis politiques pour profiler les citoyens et leur transmettre des messages personnalisés lors des campagnes électorales. Elles peuvent aussi être utilisées par les gouvernements afin de contrôler […]