Solving polynomial systems symbolically on the GPU

Graphics processing units (GPUs) are becoming very attractive for scientific applications targeting high performance Many application software have gained massive speedup factors by integrating GPU support, in particular in numerical computing. Symbolic computation is also entering the area of many-core computing but the use of GPUs in the major computer algebra systems (MAPLE, Mathematica) is […]

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Briser l’isolement des ainés en temps de COVID-19 grâce au système d’échange local mis en place par l’Accorderie de Sherbrooke

L’urgence sanitaire liée à la COVID-19 a forcé les ainés à adopter des mesures drastiques de confinement qui les mettent à risque d’un isolement. À long terme, ce confinement peut conduire à un désintérêt de la vie. L’organisme communautaire l’Accorderie de Sherbrooke, qui propose un système d’échange local entre ses membres, a mis sur pied […]

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Validation numerique du logiciel de simulation GHE_SIM

En 2011, les professeurs Bernier, Kummert, Marcotte et Pasquier de l’I~cole Poly technique de Montreal ont entrepris Ie developpement d’un logiciel de simulation en geothermie (GHE_Sim). Ce logiciel utilise une approche spectrale afin d’accelerer Ie calcul de la superposition temporelie et une technique novatrice pour tenir compte adequatement de I’interaction thermique entre les puits d’un […]

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Consuming Enterprise Cloud Data on Mobile devices and Desktops

As the mobile landscape continues to grow and diverge, there is the need to start looking for innovative ways to facilitate the Business-to-Business (B2B) use of mobile devices to support cloud hosted enterprise data. For most enterprises, the bigger hurdle is how to support the enterprise system access from the mobile while ensuring business continuity […]

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Mobile Field Analytics Integration

VeriGrain is in the agricultural automated sampling and data management business. By providing representative sampling of the harvested grain provides the grain characteristics for maximum profit, helps to determine the risk of spoilage and helps farmers eliminate downgraded and rejected loads of grain at the terminal. Currently the samples are taken at the farm and […]

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Développement et validation d’une solution logicielle pour le contrôle à distance d’objets connectés pour favoriser l’interaction sociale des personnes âgées

En raison de la pandémie de COVID-19, les personnes âgées, en situation de confinement sont déconnectées de leurs liens sociaux, et donc plus isolées et sédentaires que d’habitude. L’isolement social est encore plus critique pour les aînés moins familiers avec les technologies numériques. La présente demande vise le développement et la validation d’une solution logicielle […]

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Optimizing Pretrained Clinical Embeddings for Automatic COVID-related ICD Coding

We are building a machine learning algorithm to be able to better understand the unstructured clinical notes that doctors write about patients. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how they are improving over time.

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Tuktu – Peer to Peer Elderly Caregiving platform

As the world gets smaller, the distance between families grows larger. An increasing number of people are living far away from their loved ones, either in another city or in a different country altogether. Many leave behind their parents and other elderly relatives, with the distance making it next to impossible to provide support for […]

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Estimating Apple Crop Yield using Images

As a high-value crop, apples are intensively managed with much of this management being associated with yield estimates. Currently, estimates are done manually by experience farmers and by Scotian Gold experts. Unfortunately, this results in costly estimates that vary in their quality from farm to farm and between apple varieties. A system that can provide […]

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