Biomedical research, particularly preclinical research, is a complex and challenging field with a high failure rate of 98% in pharmaceutical research investment. Extracting relevant information from preclinical research papers involves synthesizing information from various sources, which is a demanding task that requires domain-specific knowledge. Natural language processing, specifically Large Language Models (LLMs), has demonstrated tremendous […]

The ability to quickly check if robot poses are not in collision with environment geometry is critical for robot applications that rely on forward kinematics, inverse kinematics, and path planning. It has been shown that during path planning 99% of the time is spent performing collision checks between the robot & its environment. Improving collision […]

The increasing demand for low-carbon energy has begun to amplify the development and usage of nuclear power. However, the generated nuclear waste is radiotoxic mainly due to the presence of heavy nuclei, such as actinides along with other fission products. This rises the need for selective remediation and storage of all radioactive actinides using non-toxic […]

Civonus Inc. is developing an internet based, transparent, asynchronous policy-making process for governments, public institutions, and civil society organizations/consultants who advise governments on policy issues, to use to improve their policy-making process. It is curated to produce deeply engaging, consensual, sustainable, equitable, inclusive, strategic, evidence informed policy-making. This project is to develop, in stages, MVP, […]

Modernizing plant breeding programs through integrated genomic and phenomic data management and analysis is an important organizational innovation for many public and private plant breeding organizations. This project will expand the GenGuard database and software platform for additional high priority data sources from Nutrien, including new areas of business operations. The proposed project also aims […]

The project involves enhancing and extending the in-house fluid flow solver using advanced mathematical and computing framework to be undertaken at the host university. The current in-house solver code can be efficiently applied to aerospace, marine and environmental flow problems. The collaboration with host university will result in a more advanced version of the code […]

This project aims to develop enhancement techniques for high-resolution imaging on smartphone devices. The project will focus on a specific imaging modality where a pair of images are captured in succession: a high-resolution image (108 mega-pixel) and a corresponding low-resolution image (12 mega-pixel). Due to the small pixel size in the sensor used to capture […]

The goal of this project is to improve Business Intelligence solutions to stay competitive in the market. We aim to take the learning efforts off the user’s shoulder using advanced Artificial Intelligence (AI) techniques. We will develop AI technologies to help users answer questions that can be expressed in natural language and use existing data […]

Mariner has a team of over 350 people serving our clients across four lines of business. Mariner provides core IT and strategic advisory services, has globally commercialized six technologies and invests in the development of enterprise product offerings leveraging the capabilities of emerging technologies like Big Data and Analytics, Internet of Things, Cloud and Security. […]

De plus en plus de technologies existent pour capturer un modèle 3D d’une infrastructure existante : drones, robots, caméras spécialisées, etc. Toutefois, les données ainsi produites ne sont pas “intelligentes”, en ce sens qu’elles ne contiennent aucune information sur ce qu’elles représentent, pas plus que les pixels d’une image n’indiquent ce qu’ils représentent. Ce projet […]

Menya Solutions est la division spécialisée en intelligence artificielle (IA) de la compagnie Levio. Menya développe des logiciels pour l’aide à la décision, la valorisation des données, le contrôle automatisé et la vision robotique pour leurs différents clients. Dans ce contexte, des algorithmes de planification automatique sont développés pour doter des robots (ou agents logiciels) […]

Le contexte du projet se situe dans le domaine de l’interaction entre l’humain et les agents autonomes (humanautonomy teaming; HAT), plus particulièrement dans le cas d’usage touchant l’aérospatiale. Thales souhaite étudier les mécanismes pour que ces deux agents (humain et machine) puissent devenir coéquipiers formant un système cognitif conjoint (joint cognitive system). L’étude consiste à […]