Afin de réduire le temps entre le développement d’un modèle d’apprentissage automatique et son déploiement, un gain substantiel peut être fait via l’exploration de caractéristiques similaires entre cas d’application afin de faciliter l’exploration des modèles les plus prometteurs et la sélection d’un modèle et sa configuration. Ce type d’outils entre dans la famille des AutoML […]

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. Many new innovative services will require a very high and […]

In collaboration with our Chief Technical Officer and our Advisory team, the intern will help develop and launch the rules-based engine that optimizes and validates diagnosis and billing codes. This work will involve review of various documents, including but not limited to billing reference guides, the provincial health insurance plan schedule of benefits (e.g., OHIP […]

With data being the new digital currency, consumption of data is growing at an exponential rate. Data communication between mobile devices and servers generates a massive cost to businesses because of the high throughput. The business impact becomes exponentially large with respect to cellular bills and additional resources handling elevated server workloads. The objective of […]

These days, there is growing concern about the security of confidential data in organizations. There is no doubt that organizations with high-security measures will witness cyberattacks. Therefore, the question is how we can prepare our infrastructure and cybersecurity team to deal with these challenges. The incidents response playbook is a comprehensive plan which has been […]

3D object reconstruction is a crucial task for autonomous driving. Many important fields in autonomous driving such as prediction, planning, and motion control generally require a faithful representation of the 3D space around the ego vehicle. Reliable and accurate 3D reconstruction with one RGB video alone in autonomous driving is the goal of this project. […]

COVID, remote work, remote learning and the accelerated adoption of technology globally has shifted the ways of how we live, learn, and our future lifestyles going forward. The 90% of society face challenges of how best to simplify their navigation and access to knowledge – those who may not have high value networks, and the […]

Quantum computers encode information with qubits. Unfortunately, qubits are subject to error. Those are physical qubits, and one will need many physical qubits to create an error-free qubit, also called a logical qubit. In this project, the university and industry researchers will work together to understand if the error rate of a logical quantum circuit […]

This project will develop new applications and services for our clients and company and will help develop its software and visual representation, which will lead to providing better services and, of course, generate more sales. There is a need to create a viable sales system and redesign a few virtual showrooms. Having a competitive website, […]

The ultimate level of privacy is a double-edged sword. On the one hand, it guards honest users’ private information; while benefiting criminals to perform fraudulent activities anonymously. Blockchain as a decentralized environment is not prone to this problem. Decentralization enables bad actors to conduct wash trading, money laundering, tax evasion, scam, and fraud, to mention […]

In 2020, colorectal cancer was newly diagnosed in nearly 2 million patients and associated with approximately 1 million deaths, making it the second most deadly cancer globally. In colorectal cancer, staging (i.e., determining if the cancer has spread) is the single most important factor in patient survival. Existing healthcare systems struggle to deliver accurate staging, […]

The objective of this project is to automate the interpretation of lung ultrasound images to detect artifacts associated with pneumonia. The lung ultrasound scans could be used in point-of-care units to detect and monitor pneumonia in severe COVID-19 patients. The studies have shown that lung ultrasound scans offer a more accurate diagnosis of interstitial pneumonia […]