Machine learning in the charitable sector is only beginning to be used successfully. Fundmetric Inc has applied various machine learning algorithms to predict donor behaviour, such as who will become a major ($10,000+) donor and which lapsed donors will return if stewarded correctly. There is ample opportunity for research in this domain, including building a […]

The intelligent control of space cameras project is concerned with development of the next generation of space cameras. Currently, there is a large gap between the onboard capabilities of standard commercial cameras and those currently in space (examples include image resolution, onboard storage, advanced scene understanding and exposure control). Closing this gap for space camera […]

IBM QRadar needs to be able to categorize events generated by hundreds of different network devices in order to function as a Security Information and Event Management (SIEM). This categorization is currently a manual process and our aim is to automate this task. We have a database of over 579,000 events coming from over 300 […]

Even if people have access to a past history of how they spend their time and their money, it can be challenging to make sense of past patterns in order to make decisions about how to better use their time and money in the future. By enabling past patterns to “pop out” visually, interactive visual […]

It is hard to understate the critical role access to a patient’s comprehensive medical history plays in diagnosing (and treating) patient illness. For a doctor, knowing the latest prescribed drugs of his patient might, for example, point directly to the cause of an illness — which might be just a drug side effect. Yet patients […]

It is hard to understate the critical role access to a patient’s comprehensive medical history plays in diagnosing (and treating) patient illness. For a doctor, knowing the latest prescribed drugs of his patient might, for example, point directly to the cause of an illness — which might be just a drug side effect. Yet patients […]

The objective of this project is to develop techniques and tools that leverage artificial intelligence to automate the process of handling system crashes at Ericsson, one of the largest telecom and software companies in the world, and where the handling of crash reports (CRs) and continuous monitoring of key infrastructures tend to be particularly complex […]

The main goal of this project is to develop machine learning and natural language processing approaches to help customers to communicate their preferred brands and/or retailers via Heyday solutions. These approaches will automate answers and help to humanely engage with customers. In order to reach these objectives, some challenges will be tackled such as automatically […]

L’imagerie cone beam CT (CBCT) prend une place de plus en plus importante dans l’exploration des structures osseuses du complexe dento-maxillo-facial. Cette modalité d’imagerie, moins irradiante que l’imagerie par tomodensitométrie conventionnelle (TDM), procure des images de qualité similaire, voire supérieure, à celle des images TDM. Toutefois, les rapports Signal/Bruit ne sont pas assez élevés, et […]

The goal of this project is to help automate the process of scanning buildings with consumer digital cameras. Currently, fully automated scanning with a commercial camera produces inaccurate scans, while accurate scans require significant manual effort on each individual photograph (of which there are many) of the building to be scanned. We plan to use […]

L’objectif du projet est d’ameliorer I’alignement strategique des technologies de I’information (TI) au sein des organisations. Le projet se divise en trois objectifs principaux. Tout d’abord, Les problemes rencontres par les entreprises dans la conduite de projet d’alignement strategique seront recenses et documentes. Ensuite, en faisant usage d’un tableau de bord equilibre et en se […]

Ce projet vise à développer une plateforme web d’évaluation de l’activité physique auprès de personne souffrant de maladies chroniques (Diabète, Maladies Cardiaques, Haute Pression Artérielle…). Elle sera facile d’utilisation et destinée aux intervenants travaillant dans les cliniques médicales. Elle exploitera les données provenant d’un capteur de pas (podomètre) et d’un questionnaire pour calculer des indicateurs […]