AltaML’s primary activities involve collaborating with traditional sectors to identify productivity and process challenges that can be addressed through applied AI. The previous cohort of interns worked on a marketing content generation use case, but for the upcoming term, students will be tasked with working on a chatbot for the Human Resource (HR) department, aiming […]

In developed countries cancer is the second most important cause of death. Since 1 in 4 Canadians will die of the disease and 1 in 8 men will be diagnosed with prostate cancer (PC), advanced chemotherapeutic treatments represent an important strategy to reduce cancer deaths without compromising a patients quality of life during and post-treatment. […]

A consequence of modern development of low-permeability (‘unconventional’) reservoirs using multi-fractured horizontal wells (MFHWs) is inter-well communication. Because inter-well communication can affect well performance for many wells, oil and gas operating companies are interested in the development of easy-to-implement, but effective, reservoir engineering methods for quantifying inter-well connectivity between MFHWs. Current methods for quantifying inter-well […]

Ferma Farms 2024 Internship – Fermentation Optimization and Scale-Up The optimization and continuous harvesting of fungal biomass production

From year to year, an increasing number of people face a wide range of gastrointestinal disorders and general health problems, often caused by an imbalance in the gastrointestinal microbiota. That is why developing products to normalize the state of the microflora is a priority in creating preventive health products. It has been established that products […]

Total recordable injury rates (TRIRs) have declined significantly over the past thirty years, yet serious injuries and fatalities (SIFs) have not. With the Alberta Mine Safety Association (AMSA) and member companies, we will summarize and evaluate the leading indicators for SIFs, use subject matter experts and integrative AIML to develop and assess SIF predictive measures, […]

Low intensity pulsed ultrasound (LIPUS) therapy when used in conjunction with clear aligner orthodontic treatment has been shown in clinical studies literature to accelerate orthodontic tooth movement, reduce orthodontically induced tooth root resorption, and shorten the overall duration of orthodontic treatment. In-market use of LIPUS technology as an adjunct the clear aligners has grown significantly […]

A substantial proportion of the lithium used in energy storage and numerous other applications is extracted from naturally occurring continental brines. The recycling of the lithium-ion batteries, which are experiencing a sharp increase in demand, also involves extraction of lithium from solutions containing other battery metals. The proposed research targets the development of sorbents for […]

Trulink Immigration Services Limited is expanding its service internationally and facing the challenges of business processes and technology integration, this research project aims to optimize the current company processes and business operations to ensure efficiency, seamless processes across different units or departments, effective record management, and performance management among others. Moreover, set up a data-driven […]

The Canadian Mental Health Association – Edmonton Region is facing key challenges related to significant growth, limited processes and tools in place to measure and evaluate our service quality on this given scale, and the introduction of new technology and telephony system providing us with data required for quality assurance. Through auditing our current system […]

The goal of this project is to develop effective strategies to improve the quality of CarboMat’s asphaltene-derived carbon fibers for various multifunctional composite applications. Through this project, the partner organization, CarboMat Inc., would be able to leverage their funding because of the grant from Mitacs Elevate to work towards further development of their existing asphaltene-derived […]

Point dendrometers are indispensable for monitoring tree growth and detecting stress in forest ecosystems, offering detailed insights into cambial activity and environmental responses. The project’s goal is to harness machine learning to address data gaps and enhance the precision of trend detection in dendrometer data. This approach will also seek to identify signals of ecosystem […]