This project focuses on developing and evaluating automated methods for analyzing complex no-code automation workflows used in enterprise environments. Platforms such as Workfront Fusion and Make.com allow organizations to build powerful automations quickly, but as these workflows grow in size and importance they often become difficult to understand, maintain, and safely modify. Changes are frequently […]

The main goal of this project is to integrate advanced machine learning techniques into the open-source PyBEST quantum chemistry software package to substantially accelerate quantum chemical calculations through the automated selection of optimal computational strategies. The project specifically targets the AI-driven optimization of tensor contraction operations (TCOs), which constitute the primary computational bottleneck in many […]

Intern(s) will help Thermweave develop washable fabrics that move heat away from the body with enhanced thermal conductivity. They’ll develop dip-coating recipes that use tiny carbon-based particles, dip common fabrics (cotton, polyester) in them, and fine-tune steps like time, temperature, and drying. The interns will test how well the fabric moves heat, and how it […]

This project will launch LigandQI, a next-generation Contract Research Organization (CRO) that empowers researchers in the pharmaceutical and biotechnology sectors with advanced molecular-interaction analysis. LigandQI applies state-of-the-art quantum chemistry and computational modeling to reveal, with exceptional precision, how drug candidates bind to their target proteins, enabling faster, more accurate lead optimization. Through the Lab2Market Launch […]

Frictive Pictures’ internship program will task its interns with documenting, composing, and promoting behind-the-scenes and educational content featuring the process of eight new voices in film as they create short films for broadcast and festival release. Interns will collaborate with industry professional producers to chronicle and create shareable content about the production process and then […]

This project focuses on advancing computational methods for predicting ionization potentials (IPs) and electron affinities (EAs) of organic molecules, with a specific application to organic solar cells (OSCs). By leveraging Koopmans’ theorem within the orbital-optimized pair-coupled cluster doubles (oo-pCCD) framework, the project aims to efficiently compute these key electronic properties without costly gradient calculations. A […]

The rate and magnitude of environmental change present a threat to freshwater fish populations. In Atlantic Canada the impacts to the freshwater ecosystems will arise through elevated water temperatures, alterations in precipitation, variability in ice cover and frequency of natural and man-made disturbances. In addition, temporal and spatial changes to precipitation alter seasonal flow patterns […]

Deep learning systems can predict properties of chemical substances but do so in a purely mathematical way. As a consequence, the user does not get any feedback on what are the essential properties a chemical must have to exhibit a certain property. This hampers getting any insight in to the relationship between molecular structure and […]

Through a current co-op project, International Game Technology (IGT) and the University of New Brunswick are developing a powerful artificial intelligence (AI) model to predict the performance of Video Lottery Terminal (VLT) games. However, the model currently functions as a “black box,” making it difficult for business teams like game designers to trust its recommendations […]

This project focuses on developing next-generation marine and offshore components using high-entropy alloys (HEAs) derived from Canadian resources and manufactured through Laser Powder Bed Fusion (LPBF), an advanced metal additive manufacturing technology. The marine and offshore oil and gas industries operate in some of the world’s most corrosive and mechanically demanding environments, where corrosion, fatigue, […]

Current implantable biomaterials often rely on synthetic or animal-derived polymers, which can be costly, poorly biocompatible, or environmentally unsustainable. There is growing interest in finding plant-based or fungal alternatives that meet the demanding requirements of medical-grade applications. Chinova Bioworks, a Canadian biotechnology company, specializes in producing chitosan from mushrooms for use in preservative applications. The […]

This project aims to help International Game Technology (IGT), a global leader in gaming, better understand what makes their Video Lottery Terminal (VLT) games successful. Currently, IGT finds it hard to link specific game features (like bonus rounds or themes) to how well a game performs or how long players stay engaged. This project will […]