The company collects survey data from websites which is combined with behavioural data from survey respondents. This combined data set is information rich but can be too sparse for modelling purposes in a straight forward supervised learning context. As such, on-going research concerns optimizing the process by which non-survey related behavioural data can be leveraged […]

CEIMIA is an international non-profit organization that mobilizes expertise and resources to promote the development and responsible use of artificial intelligence for the benefit of humanity. One of CEIMIA’s role is to establish supportive connections between key players in the national and international AI ecosystems, while promoting diversity and inclusion in all their projects.

The project involves the development of a machine learning model which can predict targeted properties of materials from their band structure. Computational modeling methods, such as ab initio (quantum chemistry) calculations, Density Functional Theory and Molecular Dynamics, enable us to calculate properties of materials from their crystalline structure. The band structure is a representation of […]

This project is to continue to implement data analysis algorithms for real time analysis of precision feeding data provided by a novel custom poultry precision feeding system. In addition if time allows work on some computer vision algorithms to detect the presence of a bird in a feeding station.

MedMe Health is pursuing further growth within Canada, especially in Quebec, and prepares for expansion into new markets such as the United States and the United Kingdom. The company’s customer onboarding process is currently cumbersome and manual, which affects scalability and limits customers’ control over account management. They also face the hurdle of language localization […]

This project aims to benefit society by improving accessibility for viewers who may not be able to receive sound information well from the media content, including DHH viewers. To develop and research for the project, it is necessary to reflect an in-depth and multi-faceted case analysis on the topic of improving sound accessibility. To fulfil […]

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech […]

The objective of this project is to develop artificial intelligence (AI)-based solutions aimed at denoising ventilation-perfusion (V/Q) planar images for the detection of pulmonary embolism (PE). The denoising algorithm has the potential to solve two major limitations of V/Q scans: long acquisition times and currently insufficient techniques for generating pseudo-planar images from SPECT acquisitions. Our […]

Diversity among the mobile platforms requires an application developer to develop separate applications for each platform. Reason for this is the unique technological support and features that each platform comes embedded with. To use the features associated with any particular platform, we need to use the underlying SDK supported by that platform. Major market share […]

In response to the dynamic challenges inherent in the gaming industry’s character animation pipelines, characterized by the labor-intensive and error-prone nature of manually labeling frame-by-frame data, this project endeavors to integrate Self-Supervised Learning (SSL) techniques into the animation workflow. SSL offers a compelling solution by enabling the acquisition of efficient and generalizable representations from large […]

To respond to the lack of digital tools for small-scale farmers, our team has been developing Litefarm (https://www.litefarm.org), a free and open source multifunctional web app which can be used by farmers to enter data for farm management, obtaining organic certification, and participatory assessment of agroecological outputs. Launched in 2020, LiteFarm is now the world’s […]

This project, a collaborative effort between TU Munich and the University of Calgary, aims to use an innovative electrotactile tongue display system for robotic teleoperation in surgery. In robotic-assisted surgeries, surgeons lack the direct ‘touch’ feedback that traditional surgery offers, often leading to a reliance on visual cues for force application. This gap can affect […]