FutureVault Business Strategy Internship

This student will join the FutureVault marketing and strategy team. This team has a number of key mandates for the organization. The team supports and influences the strategic direction and design of the overall product and solution with a focus on driving product-market fit to ensure that the products and services being developed have the […]

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Using Bayesian Learning paradigms to enhance the clinical utility of an AI decision support tool for mental illness.

The Machine Learning team at Aifred Health is aiming to improve the performance of their core decision support models and the intern will assist in the development of a system that will intelligently iterate across dozens of unique model configurations to find the best performing one by leveraging previous configurations and their performance outcomes. The […]

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Evaluating Latency in Virtual Production Pipelines with Integrated Prediction Model for Motion Capture Data

Virtual Production (VP) is seeing a dramatic spike in interest and adaptation as the global film industry, particularly Hollywood, has been shutdown due to Covid-19. Virtual production is a broad term referring to a spectrum of computer-aided production and visualization filmmaking methods, and is also being used for broader applications from animation to industrial visualization. […]

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Identification of high-frequency periodic acoustic fish tags with deep learning

Innovasea produces fish tags and receivers to track the presence and motion of fish and marine mammals while underwater. Fish tracking (acoustic telemetry) is used by researchers worldwide to determine the abundance and habits of marine life, make decisions about fishing seasons and allowed catches, and help protect marine mammals. Innovasea has developed a novel […]

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GaN Modelling for the EV Application

The use of new technologies, such as Gallium Nitride electronic switches, allows very efficient and compact power converters to be manufactured at reasonable cost. This is particularly interesting in applications such as electric vehicles. This project focuses on developing software simulation models and techniques for deploying these latest high voltage switches, in particular focussing on […]

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Développements analytiques pour le marketing numérique et le recrutementde donateurs d’organismes à but non lucratif

Plusieurs fondations, comme la fondation Marie-Vincent, sont particulièrement touchées dans le contexte de la crise actuelle de la COVID. Une partie importante des initiatives de financements étant normalement effectuée lors d’événements physiques d’envergure, l’obtention du financement pour maintien des activités est une préoccupation. Afin de supporter les fondations et organismes à but non lucratif particulièrement […]

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Measuring firm sustainability using textual data

Finance has experienced a significant increase in studies tackling issues related to Sustainability in recent years. The majority of them rely on third-party ESG ratings which are diverse, not transparent, and lack standardization. Our project aims to use text-mining techniques to identify ESG dimensions in sustainability-related documents and offer an automatic measurement across the ESG […]

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Optimizing Machine Learning to Increase Relevance in Photo Selection for Private School-Based Social Media

Machine learning, specifically deep learning, for face recognition applications has advanced significantly over the past 20 years [ref: science direct survey on deep based facial recognition]. There are many deep learning concepts pertinent to face image analysis and facial recognition, and there is active research in outstanding problems ranging from effective algorithms to handle variations […]

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Machine Learning for User Behaviour Prediciton in Mobile Games

With the growth of the social networks and mobile gaming devices in recent years, the social gaming became an important part of the game industry. These social games provide huge amount of data about the users’ behaviors, an important issue for the gaming companies is to analyze this data and model the choices and behavior […]

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Investigation on a scalable platform for modular robotic systems development: Case study on AISCartPuller robot

AIS Inc. is at the forefront of developing practical mobile robots for various markets. Mobile robots are considered as very complex systems comprising of hundreds of interacting components in complex system architectures. Developing such complex robotic systems, particularly in large scale, requires a coherent collaboration and engagement on various specialized areas such as scientific research, […]

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