SOTI SNAP Widget SDK Back-end Deployment

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. SOTI SNAP allows users to create apps by dragging and dropping widgets onto a canvas and connecting them together to create an app. With SOTI SNAP apps can be created in minutes and […]

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Exploring and Improving Self-supervised Methods for Large-scale Video Recognition

With the advancement of modern technology, especially the increase in network speed, videos are taking more and more important places among media types. With vast potential applications, video recognition has received great attention. However, video recognition is a non-trivial task: a lot of training data are needed for complicated neural networks, but annotated data are […]

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Project 4C: Cumulus Cloud Cluster Computing

Forests are one of Canada’s greatest commodities in terms of natural resources—almost two-thirds of British Columbia alone is populated by forests, measuring 60 million hectares. Worldwide, forests continue to impact global infrastructure, economy and environment. Understanding how to monitor and track usage and health of our forests is essential for the management and longevity of […]

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Improvement of covid-19 treatment with machine learning

Currently, testing the population more at risk to be severely ill is a cumbersome process. There is a limit to the capacity and the resources of the healthcare system that show a need to be more efficient in discovering infected person. Being able to quickly detect infected person helps reduce the risk of infecting others […]

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Pattern Recognition and Event Forecasting to Increase the Performance of Industrial Bioprocesses, in an Effort to Accelerate the Sustainable Development of the Transformation Industry

The first objective is to use ML to reduce the modeling error in predicting the end-of-growth of a batch, reducing the emission of CO2 and water consumption of synthesized products. The second objective is to formulate the algorithms to facilitate its integration into our analytics solution. The third objective is to validate shared learning when […]

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Machine learning and the COVID Black Box: Safe monitoring of COVID-19 ICU beds, assessment centres, and surgeries

The project aims to optimize healthcare provider and patient safety and monitor PPE use, to optimize resource utilization during the COVID-19 pandemic. Assessment of surgical data from an operating room is a complex process that may require significant resources such as expert input and advanced technology. Automation brings a considerable opportunity to greatly reducing these […]

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Detection of missing words

The software Antidote (www.antidote.info) is capable of correcting English and French corpuses. It detects thousands of types of errors. We want to add new types of correction using modules based on deep learning. The detection of missing words is a type of correction that we want to address in this internship. Here is an example […]

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Automated Pilot Performance Assessment

In a trend towards increasingly complex aircraft, tomorrow’s pilots must possess excellent situational awareness, problem solving, leadership and communication skills. Pilots trained for these competencies will be best equipped to handle unforeseen situations safely. In this project at Paladin AI, intern will focus on working with real flight simulator data that has been labeled by […]

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WiFi Indoor Localization and Geofencing

Many mobile devices that are used in an enterprise are considered mission critical as they are heavily relied upon, allowing a worker to do their job. Locating these devices anywhere and anytime becomes that much more important, especially if they become lost or stolen. SOTI’s technology leverages GPS on a device to track its location […]

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Computational Biochemistry Platform for Crop Health

The global population is rising, generating a need to produce more food to feed the world. Along with climate change, the food crops across the world are facing growing challenges from pests, pathogens and viruses that attack and destroy crops. In Canada, we export more than $7 billion worth of wheat every year. The Terramera-led […]

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Mitigating Healthcare system challenges and risks in relation to pandemics such as COVID-19: a human resource planning approach using MeshAI.io platform

The shortage of healthcare personnel is a prevalent problem, primarily due to the substantial workloads caused by the novel Coronavirus strain. Moreover, due to the overwhelming and extremely dynamic situation in the healthcare industry caused by the COVID-19 pandemic, staff scheduling becomes very crucial. This research project in collaboration with the MeshAI.io platform intends to […]

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