Animal identification and emotion detection using deep convolutional neural networks

According to a recent report, when it comes to animal protection laws Canada has not been performing adequately, receiving a grade of “D” on the Animal Protection Index (API). The low marks received were for not having adequate legislation protecting wildlife in captivity, working animals, farm animals, animals used in research and companion animals. At […]

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Coaching Mental Health Providers and Adults to Achieve Optimal Sleep

Millions of Canadians struggle with insomnia, but common methods of dealing with poor sleep (e.g., medication) have poor side effects, do not have lasting effects, and are not preferred by patients and providers. Although cognitive behavioural therapy for insomnia (CBT-I) is the gold-standard treatment, there is limited access because most mental health practitioners (MPHs) do […]

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NLP-empowered Automation for Integrity Assessment in Legal Documents

Natural Language Processing (NLP) is a learning-based technique under the general scope of Artificial Intelligence (AI). NLP has shown its benefits in many application, including finance, accounting and auditing. Differing from semantic extraction in social media, text interpretation for auditing has the legal constraints, which is crucial in determining whether an invoice or a contract […]

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Improvements to the Environment Footprint Monitoring Platform

The EFMP is an environmental management platform. At its basic level it monitoring the environmental conditions over time and over the entire footprint of a project. The footprint of a development does not end at the boundary fence – the area that the development effects on a regular basis. The environmental information comes from Earth […]

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Behavioral mapping Using Machine Learning and Natural Language Processing to Predict Individual Behaviors and Team Dynamics

This project tackles the issue of knowledge incompleteness and lack of domain coverage in resume and job posting matching caused by the exploitation of domain-general resources. A variety of co-operative semantic/ontological resources will be used to filter out irrelevant resumes. A two-way (candidate to job and job to candidate) semantic-based automatic suitability ranking is proposed. […]

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Amélioration de l’ajustement des masques respiratoires grâce à la numérisation 3D, à l’analyse par éléments finis et à l’intelligence artificielle.

La pandémie de COVID-19 a souligné l’importance du port du masque pour prévenir la propagation du virus et le confort associé, notamment pour les travailleurs de la santé. En effet, l’efficacité d’un masque respiratoire dépend fortement de son ajustement. Avec les masques traditionnels, réaliser une étanchéité parfaite avec le visage s’avère difficile, voire impossible sans […]

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Digital Strategy & Sales Internship

This Digital Strategy & Sales Internship involves several business development activites along with content marketing and advertising to help bizXL Solutions, a boutique consulting firm, to constult and assist other businesses that have been impacted by COVID-19. Market development is the current focus with special attention to brand positioning, acquiring more customers through digital media […]

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Legal Innovation Zone Feasibility Study

The Legal Innovation Zone Feasibility Study project brings together the University of Alberta Faculty of Law and Donna Purcell QC Law to consider the feasibility of a collaborative centre or “zone” that might support cross-disciplinary innovation in the legal system. Such a zone would aim to increase access to justice in a digital age, with […]

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Development of a Natural Language Processing algorithm for the topic and novelty identification of scientific articles

Currently the selection of peer reviewers is a secret process entirely controlled by journal editors. This introduces significant biases into the process that fosters an environment that contravenes every aspect of equity, diversity and inclusivity, inhibits novel ideas and suppresses creativity which is just bad for science as a whole. Furthermore, research is most often […]

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Modelling Acute Respiratory Distress Syndrome (ARDS) in Precision Cut Lung Slices (continuation)

As researchers strive to reduce the number of animals used in their research, many are turning to precision cut lung slices (PCLS), thin organ slices prepared from fully developed mouse lungs. They represent a “mini-model” that closely resembles the original organ in both anatomical structure and rich cellular environment. Despite the increasing interest, no commercial […]

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