Real-time AI-based Anomaly Detection of 5G Network Latency

LatenceTech offers a cloud analytics and monetization solution for cellular networks with a special focus on ultra-low latency connectivity. Using SAAS and AI, our solution helps mobile operators, telecom vendors and advanced industries to track, predict and secure the new benefits of 5G cellular technology. This project consists in creating ML Models to perform near […]

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Climate Investment Impact AI Model

The internship project will contribute to Baastel’s overall ambition to use AI modelling techniques in the monitoring and evaluation of international development projects, specifically in its climate change and disaster risk reduction practice. Baastel’s objective is to increase the amount of public and private funds available for climate change mitigation investments, in order to help […]

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Employee Engagement Research

The internship project investigates the market feasibility of a new service/product offering and the existing organizational capacity to enable such a change to occur. Assist with the strategy and business plan development for what form this offering should take shape, either as an intrapreneurial initiative or a separate entity. The project will also adapt and […]

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Cancer treatment using drug-loaded thermosensitive liposomes with non-invasive ultrasound thermal therapy and temperature monitoring and control in an in vivo animal model

Chemotherapy is the most commonly used method for treating different cancer types that involves the delivery of chemotherapeutic drugs, leading to the death of cancer cells. However, the non-uniform distribution of chemotherapeutic drugs within the tumor and systemic toxicity has multiple side effects, and the delivery problem remains unsolved. Drug delivery carriers such as liposomes […]

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Exploring Deep Learning Models for Understanding Consumer Language

With the ultimate goal of enhancing Nexxt Intelligence’s market research SaaS platform, inca, this project will create a robust, scalable algorithm for clustering consumer utterances into groups which are useful to ad-hoc market research objectives, and interpretable via natural language descriptions to market researchers. Due to the multifaceted and nuanced nature of consumer opinions and […]

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Incorporating the behavior of caregivers using discrete choice models for assigning visits and/or work schedules to caregivers in home healthcare services planning

The partner organization, AlayaCare being a provider of cloud-based home healthcare software services, will allow us to have access to real-world data as well as field realities for home health care services planning. The responses from the patients as well as the caregivers used to build the behavioral models (discrete choice models) will be obtained […]

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Fast Phylogenetic Mapping of Functional Anchors from the Mining Microbiome

Microorganisms have radically shaped Earth’s atmosphere and landscapes. From providing oxygen in the air we breathe to nitrogen in soils for farming, their innumerable ecosystem services have long gone unappreciated and under utilized. Recent advances in DNA sequencing technology – where the letters of an organism’s DNA are read – and computing have revolutionized our […]

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Automatic Optical Character Recognition Preprocessing for Custom Gameplay Text

Computer Games are one of the key use cases of graphics cards of AMD. To ensure highest quality and performance, extensive testing of graphics hardware and software is required. However, much of this gameplay testing is manual and requires significant efforts due to varying styles in games and their versions. In this context, an open […]

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Inspection of Bridges in Ontario for Damage Detection and Rehabilitation

This Mitacs project will undertake bridge inspections of 33 road bridges in Ontario to determine locations and level of damages in these bridges and suggest appropriate rehabilitation techniques to keep these bridges in service. The data collected will be added to the current pool of similar data already collected by the industry partner, MEDA to […]

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Blockchain-based federated learning for Agri-food supply chain

This project utilizes blockchain technology, smart contracts, and federated learning techniques to enhance collaboration between multiple parties for the agri-food supply chain application. It aims to promote data trust between multiple stakeholders in the supply chain by adopting blockchain technology and federated learning techniques. Multiple parties can keep their data at their local data storage, […]

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Robot control using artificial intelligence for high diversity and low volume production sites

NeuroBotIA aims at tackling problematics of manufacturing SME such as the shortage of qualified workers. Currently, Canada is facing a labor shortage of 39% which will increase overtime due to younger generation interest in professional job and population growth decrease. Therefore, NeuroBotIA will develop technology to alleviate labor shortage using intelligent robots. This project aims […]

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