Legislation is a messy process, with important information generally not available to all stakeholders, a number of critical influencers and processes that are manual, and indeed “heroic” efforts required to get anything significant done. Gnowit (the partner organization) makes this much easier by tracking millions of sources of policy, legislative, regulatory and media information and […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE IS NO PROJECT OVERVIEW.

This project presents a novel software-centric architecture for enhancing network management and traffic processing in satellite communication networks. The architecture features a standardized communication framework enabling seamless interaction between a software-based Network Management System, traffic applications, and a new high-speed hardware processing module. This module, designed with a hybrid FPGA/CPU approach, provides high-performance modulation and […]

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 […]

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 […]

MOTTIV Technologies and researchers from the University of Alberta will collaborate to create an “AI coach” which is a language based chatbot that will speak to athletes who use the MOTTIV app about a defined list of instances that are critical for a successful coach-athlete relationship. The goal is to make the chatbot called Coach […]

There is a large number of visually impaired people all over the world according to the World Health Organization. It reduces their mobility significantly as they may bump into obstacles. Robust real-time obstacle avoidance would be very helpful to increase their mobility. The main objective of this project is to develop a robust and fast […]

The primary objective of this project is to utilize artificial intelligence to support individuals intending to immigrate to Canada by providing real-time, accurate information, personalized assistance, and comprehensive guidance throughout their immigration journey. The project aims to ensure that prospective immigrants have their questions answered promptly and are well-informed about the necessary steps to meet […]

The proposed project aims to create and implement new strategies for business-to-business (B2B) outreach. By developing innovative approaches to engage with other businesses, the project seeks to enhance communication, build stronger partnerships, and drive growth. The expected benefit to the partner organization includes increased reach, more effective lead generation, and higher revenue through targeted B2B […]

Smart or intelligent classrooms utilize advanced interactive technologies to support instructors and learners in a hybrid learning environment. However, effectively integrating these technologies with the instructors’ curriculum and aligning them with students’ needs remains a challenge. Distinct from typical hybrid learning platforms, X2O’s OneRoom is designed to preserve the learning experiences of online students and […]

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 proposed research project aims to develop accurate and user-friendly models to forecast daily streamflow for the Oldman River in Alberta. This project will involve using advanced machine learning methods, such as Artificial Neural Networks (ANNs), Extreme Gradient Boosting (XGBoost), and Long Short-Term Memory (LSTM), to improve the reliability of streamflow predictions. By enhancing the […]