Le projet porte sur le développement de fonctionnalités d’un compilateur pour Python (un logiciel produisant des instructions machine pour le langage de programmation Python). Le développement de ces fonctionnalités augmentera la compatibilité du compilateur avec la syntaxe de Python et permettra d’obtenir des gains de performance. Ces deux points faciliteront l’adoption de cette technologie par […]

At a high level, the goal of this project is to create a system for producing synthetic datasets based on real data. As a large financial crime detection firm, Verafin deals with large volumes of sensitive data which must be kept private, however they are also interested in collaborating with academics to gain new insights […]

Patients are facing excessive wait times at hospitals, especially within Emergency Departments. Long wait times expose patients to unnecessary risks, and are very costly to hospitals. In addition, a number of governmental and medical guidelines impose limits on patient wait times. This has prompted hospitals to explore technologies that can enhance patients flow and reduce […]

AI Dynamics is building an end to end data platform for managing datasets used in machine learning workloads. The end goal is to provide a web based interface where users can import datasets with a variety of different data types (audio, image, video, DICOM, DNA, RNA, amino acid, text, numbers) and add annotations in preparation […]

OBJ 1 Identify overall process to be used for the front end & backend of the payment integration process of Oliver POS OBJ 2 Integrate Oliver POS with Moneris payment app, Moneris checkout app, Authorize.net Payment app, Stripe Payment app and SaRoadshow Product X development OBJ 3 Integrate Oliver POS with Moneris payment app, Moneris […]

Thales développe le Hospital Optimizer, un outil pour gérer l’utilisation des salles d’opérations en les affectant à différentes équipes médicales. Cette allocation tient compte de la demande, des disponibilités médecins, de la disponibilité des salles et des types de chirurgies pouvant être effectuées dans chaque salle. Si la version courante du Hospital Optimizer prend bien […]

Network parameter configuration is crucial for optimizing performance in a cellular network. Often, such parameters are too numerous and their interdependence too complicated for them to be efficiently configured by human experts. Therefore, it is of great interest to study network parameter configuration as a machine learning problem. We aim to expand on the machine […]

Project 1: The objective of this project is to design a Visual Systemic ‘Risk Map’ as one possible prototype to address some of the issues of risk identification and analysis in the context of global financial systems. We propose the design concept of the ‘Risk Map’ using principles of Cognitive Systems Engineering (instrumental papers in […]

The project investigates the transformation of anonymity in times of networked-data by looking into the history of urban neighborhood design and its relation to neighborhood-related machine learning algorithms, such as k-nearest-neighbor (KNN). This method analyzes behavioral patterns to form groups (neighborhoods) of actors with the same characteristics (neighbors). This groupingis then deployed to understand and […]

Online marketing is a popular type of advertising, which utilizes the Internet to deliver advertising information to consumers in the digital era. Despite the advantages of online marketing, there is still much room for efficiency improvement. The major problem with existing online marketing is that there tend to be a mismatch between what are delivered […]

The EBAR Web App Widget Development project is building in-house capacity in modern JavaScript development, converting the EBAR Reviewer app to Esri Web AppBuilder with custom widgets, and applying and adapting best project management practices for small software development teams.

Mental illness is the leading cause of disability in the world. Diagnosing mental health syndromes have proved challenging for clinicians. This has led to delay in diagnosis or misdiagnosis. Furthermore, the majority of individuals who have mental disorders have more than one condition (co-morbid), which are essential to screen and diagnosis early to achieve symptom […]