The intern listed (Divena Raina) on this particular application will work alongside the Government of Alberta on the Smart Document Extraction Agent team. The goal of a Government of Alberta Redaction Assistant would be to empower the government to handle sensitive information and access requests with greater eff iciency and security. ? Focus: using the […]

Goosechase is a Canadian platform that helps schools, nonprofits, and businesses run interactive, mission-based activities like onboarding, orientation, museum tours, and team training. Today, creating these experiences and checking large numbers of photo, video, and text submissions is slow and manual, especially in education, where safety and privacy are critical. This project will build AI […]

1QBit is midway through our effort to create a software suite (Topological Quantum Architecture Design (TopQAD)) that automates quantum architecture design and enables you to study the impact of quantum algorithm and FTQC component design choices on resource requirements. It can be used to support scientific research, product development, and quantum computing policy and investment […]

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 […]

The project comprises internships in a variety of technical and business roles within our organization and within our GovLab program. Within the organization, roles include associate machine learning developer, business development associate, communications associate and finance associate. Within GovLab specifically, roles include associate machine learning developer, associate business solutions consultant, and project delivery associate. The […]

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. AltaML’s Venture Studio […]

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. AltaML’s AI Lab […]

This project explores a new workflow for creating adaptive music for video games and other interactive media. Today, most interactive music relies on pre-recorded audio segments, which limits flexibility and requires composers to manually prepare a large number of variations and transitions. Our research takes a different approach by working with MIDI, a digital data […]

DiamondAI and McMaster University are working together to create a secure and scalable software interface, called an API, that connects DiamondAI’s career guidance platform with the online systems used by schools and colleges. DiamondAI helps students and newcomers understand their strengths and interests through personalized assessments powered by artificial intelligence. Right now, most schools use […]

Le projet vise à initier le développement d’un cadre méthodologique ESG que les organisations pourront utiliser pour mieux évaluer l’impact environnemental, éthique et social de leurs projets numériques, et qui pourrait être intégré dans l’outil d’évaluation des projets numériques de Prompt.

This research investigates the fusion of multi-source geospatial data to overcome key scaling limitations in automated property assessment. The primary research problem addresses object occlusion in satellite imagery, where features can obscure ground-level surfaces and prevent accurate area measurement. We propose and evaluate a novel machine learning approach that geometrically fuses satellite imagery with ground-level […]

Nitrous oxide (N2O) is a powerful greenhouse gas with a global warming potential 298 times that of CO2, significantly contributing to climate change through agricultural activities, particularly the application of fertilizers. Accurate and scalable prediction of N2O emissions is essential for sustainable agriculture and climate mitigation. Current methods, such as LSTM-DLM neural networks proposed in […]