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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Improving protein-ligand binding models using multidimensional, mixed-confidence training data – Part 2

There currently are no approved treatments for COVID-19, as global case counts increase daily. High infectivity and long time-to-recovery for COVID-19 cases is straining health-care systems globally. There is an urgent need to discover therapeutics that treat patients and improve clinical outcomes. Research and Development timelines associated with vaccines and new chemical entities will not […]

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Privacy-preserving Federated Learning Algorithms and Dashboarding to enable COVID-19 health analysis

This research project will enable Krate Distributed Information Systems Inc. (Krate) to provide two software as a service (SaaS) cloud products that will integrate with the distributed computer platform of fellow startup Distributed Compute Labs (DCL) to aid COVID-19 researchers. DCL’s distributed computer is in use by scientists and researchers across Canada (this company’s product […]

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Développer une nouvelle génération d’agent cognitif avec raisonnement intégré : un pas vers l’identification des facteurs causaux de la COVID-19.

Bien que des systèmes de monitoring des patients existent déjà, leur accessibilité est souvent limitée en milieu hospitalier, réservé aux soins aigus. De plus, ils sont de nature particulièrement encombrante de par le nombre d’électrodes, capteurs et fils qui les compose. Un système de monitoring (‘wearables’) plus léger, plus accessible, et pas cher intégré aux […]

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Real-time context-aware recommender systems

Proposed Research: Existing recommender systems, even though very effective (like Amazon, Netflix, Youtube etc) do not take into consideration any contextual information, such as time and place. In recent times, context-aware recommender systems have attracted a lot of research and industrial attention. In this project, we aim to address the unsolved challenges that comes with […]

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Smart Data Fusion for COVID-19 Patients

In response to the COVID-19 pandemic, tech industry is racing to develop apps as well as wearable devices to help people to trace contacts, to self-assess, and to self-monitor the development of COVID-19 cases. However, these apps and devices work independently of each other, which leave it to users to connect pieces of information to […]

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