Patients can use secure messages to communicate with their healthcare providers through patient-facing patient portals. While patients like the use of secured messaging, it also increases the workload burden for providers, and as such, providers often do not offer it to patients. With recent years of technological innovation, electronic hospital records software has developed AI-generated […]

Mastercard works with improving and securing payments of millions of cardholders and merchants. One of the primary objectives of Mastercard’s work is to detect and prevent fraudulent payments. There are several ways of committing such fraud, often such fraud can happen due to vulnerability of the merchant to such fraudulent threats and several other underlying […]

When Kinaxis trains its machine learning models, it does so on two time scales. Every week or so, it looks at around 10 billion sales records and tries to learn the rapidly-changing “parameters” that best describe this data. Every 3-6 months, it updates 10 thousand collections of “hyperparameters” that govern the parameter-learning process. Kinaxis would […]

This research project aims to revolutionize heating and cooling systems in buildings by combining Artificial Intelligence (AI) and solar energy. By developing smart algorithms, the HVAC system will adapt to changes in the environment and occupancy patterns, ensuring optimal energy use and reducing environmental impact. The intern will design simulations to evaluate performance, compare results […]

This research project aims to develop a comprehensive predictive framework for heat treatment furnaces to enhance operational efficiency, product quality, and environmental sustainability. The project focuses on creating a data preprocessing pipeline tailored for big machinery sensor data, innovative AI-enabled anomaly detection models, real-time furnace operation analysis, and quality prediction models. Key objectives include obtaining […]

Scispot is an innovative company dedicated to revolutionizing the biotech industry through the integration of advanced scientific tools and technologies. Scispot is backed by Y Combinator, Velocity, OBIO, OCI, and CDL. Our mission is to enable every biotech lab to streamline their operations, enhance productivity, and accelerate scientific discoveries.

Reinforcement learning algorithms are successfully employed in diverse industries, for instance in autonomous driving, trading or gaming. However, their generalization especially in critical-decision making systems has raised concerns about their robustness to attacks. The 22nd recommendation issued by the White House (2016) to prepare for the future of AI states: ”Agencies (…) should ensure that […]

This project will contribute to the design and building of the systems behind our clinical-facing applications for automated point-of-care ultrasound interpretation. Working closely with our product, AI, and regulatory teams, the project focuses on building real-time respiratory imaging tools that bring immediate diagnostic answers to patients — whether at the bedside, in the back of […]

At Elements Athletics, we’re using technology to make sports safer and more enjoyable for everyone. Our flagship tool, Mic’d Up, uses artificial intelligence to analyze referee audio from games, detecting verbal abuse and helping sports organizations enforce their conduct policies. Through this Mitacs project, we’ll improve our internal annotation dashboard to streamline audio review and […]

Les forêts tropicales sont de plus en plus menacées par la déforestation, les incendies et les perturbations climatiques. Afin de surveiller la biodiversité et de prévoir les tendances spécifiques à chaque espèce, les chercheurs ont commencé à utiliser des technologies aériennes sans pilote (i.e. drones) pour identifier les espèces et cartographier la forêt. Cependant, les […]

Ce projet vise à développer une plateforme conversationnelle permettant d’interroger des données structurées dans Power BI à l’aide du langage naturel. L’objectif est de simplifier l’accès aux données financières et de gestion de l’entreprise, actuellement statiques et difficiles à exploiter sans expertise technique. L’innovation repose sur deux composantes principales : – Un back-end capable de […]

Nous sommes dans un contexte où un très grand nombre de données, souvent personnelles, sont produites et stockées à travers le monde. Chaque continent, et parfois chaque pays, possède ses propres lois encadrant la protection des données, comme le RGPD en Europe. Ainsi pour faire des calculs sur l’ensemble de ces données il faut utiliser […]