The objective of this project is to develop artificial intelligence (AI)-based solutions aimed at denoising ventilation-perfusion (V/Q) planar images for the detection of pulmonary embolism (PE). The denoising algorithm has the potential to solve two major limitations of V/Q scans: long acquisition times and currently insufficient techniques for generating pseudo-planar images from SPECT acquisitions. Our […]

Diversity among the mobile platforms requires an application developer to develop separate applications for each platform. Reason for this is the unique technological support and features that each platform comes embedded with. To use the features associated with any particular platform, we need to use the underlying SDK supported by that platform. Major market share […]

In response to the dynamic challenges inherent in the gaming industry’s character animation pipelines, characterized by the labor-intensive and error-prone nature of manually labeling frame-by-frame data, this project endeavors to integrate Self-Supervised Learning (SSL) techniques into the animation workflow. SSL offers a compelling solution by enabling the acquisition of efficient and generalizable representations from large […]

To respond to the lack of digital tools for small-scale farmers, our team has been developing Litefarm (https://www.litefarm.org), a free and open source multifunctional web app which can be used by farmers to enter data for farm management, obtaining organic certification, and participatory assessment of agroecological outputs. Launched in 2020, LiteFarm is now the world’s […]

This project, a collaborative effort between TU Munich and the University of Calgary, aims to use an innovative electrotactile tongue display system for robotic teleoperation in surgery. In robotic-assisted surgeries, surgeons lack the direct ‘touch’ feedback that traditional surgery offers, often leading to a reliance on visual cues for force application. This gap can affect […]

Our goal is to uncover patterns and structures hidden in complex biological data measured at the single-cell resolution. We propose to incorporate multiscale information, comprising both local and global information, to describe the shape of datasets as a whole. Current work typically only focuses on local structures, like groups of similar cells and transitions between […]

We are embarking on an exciting research project that aims to enhance how we diagnose and treat depression in young adults aged 18-29. Our team will use machine learning to better understand how a person’s genetic makeup and life experiences can affect their mental health. Specifically, we will enhance a tool called YMI, developed by […]

45Drives offers its customers the ability to store massive amounts of data in-house, giving those customers a high level of data sovereignty. To do this 45Drives uses the opensource software Ceph which interconnects many servers into a distributed storage system. A limitation of Ceph is that it only provides data security at transit but provides […]

Depuis 2018, Thales Digital Solutions développe des systèmes d’optimisation et d’aide à la décision ayant pour but d’accélérer la transformation numérique de ses industries, en particulier dans les domaines militaire et aérospatial. Ces systèmes reposent sur des approches de modélisation par contraintes et permettent de résoudre des problèmes d’optimisation particulièrement complexes. Lors de l’utilisation de […]

The proposed research project, undertaken by interns at Robosafety, an emerging startup, aims to enhance safety engineering in autonomous systems such as self-driving cars and AI-driven robots. By simplifying and improving the safety assurance process, this initiative seeks to significantly reduce the time and effort required for validating safety compliance. The end goal is to […]

Ce projet vise à améliorer la participation sociale des enfants autistes et de leur famille en utilisant des activités de loisir immersives basées sur la réalité virtuelle (RV), en particulier dans un environnement de type CAVE. Actuellement, les enfants autistes rencontrent des obstacles à la participation sociale en raison de divers facteurs, tels que des […]

The research projects will range from practical curricula development using Indigenous linguistic strategies to advanced machine learning experimentation. The goal of the intern research projects will be to advance ML science for the benefit of Indigenous communities.