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.

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech […]

In this project, we will employ deep learning techniques to enhance the accuracy, interpretability, and robustness of indirect measurements. Particularly, we focus on problems of i) interpretation and analysis of metagenomic data obtained from agricultural soil samples, characterized by high-dimensional feature spaces with a relatively small number of soil samples (for an overview, see [1]-[4]), […]

Human perception is a critical part of creativity. This research is based on an observation that a creative solution often connects two remotely related concepts. Therefore, I will focus on the mechanism of human visual perception, particularly the mechanism to connect two objects, in this project. The objective is to be achieved by using the […]

En utilisant des modèles de Traitement Automatique des Langues (TAL), notre objectif est d’analyser de manière approfondie les articles de presse pour extraire des informations cruciales sur l’acceptabilité sociale des projets liés aux ressources naturelles. Nous nous concentrons sur l’identification des parties prenantes impliquées, ainsi que sur l’identification des facteurs clés de succès et des […]

This proposal represents part of a doctoral thesis aimed at developing an interface for immersive environments, allowing for geovisual analyses targeted at smart cities, using digital twins to investigate flood-related data. The proper application of interface design in this environment enables an improved understanding and perception of emerging risks, which are crucial elements in flood […]