Development and integration of new module to TROE AI based EMS software

TROES Corp. is a Canadian-based, advanced battery energy storage company, specializing in smart distributed energy storage solutions. Based on the LiFePO4 technology, TROES develops, designs, manufactures and delivers high-performance, rigorously tested, innovative, AI-based IoT and cloud-based energy storage systems. TROES have been developing a complete Artificial Intelligence (AI) based Energy Management System (EMS) software. They […]

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AI Integration in Immigration Services: Enhancing Public Service with Data Pipelines, Data Lakes, LLMs, and Prompt Engineering

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 […]

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Studica Limited Full-Stack Robotics Control & Programming Application BSI Fall 2024

Create and maintain a powerful full-stack, user-friendly, multi-platform application that enables Studica customers to configure and manage various robotics hardware including, sensors and controller products. This project will help Studica contribute to the advancement of robotics in education and industry, and bridges the gap between Studica’s cutting-edge robotics products and educators worldwide, promoting STEM education […]

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Prévision de la charge électrique dans un système de contrôle en boucle fermée

La prévision de la charge, ou de la demande électrique, est une activité fondamentale pour les utilités électriques et en particulier pour Hydro-Québec. Dans un contexte opérationnel, elle vise à prévoir sur un horizon de temps relativement court, typiquement 24 ou 48 heures la quantité d’électricité qui sera consommée par un ensemble de clients donnés. […]

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Virtual Home Staging with Generative Artificial Intelligence (GenAI)

This proposal aims to revolutionize the process of virtual home staging by using advanced technology called Generative Artificial Intelligence (GenAI). Traditional staging, which involves professionals arranging furniture and decorations in a home to make it more attractive to buyers, can be expensive and time-consuming. By harnessing GenAI, we can speed up this process and reduce […]

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Machine Learning developer intern working with Financial Services in the private sector to develop and commercialize AI-powered solutions (1)

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 […]

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Comment maximiser l’engagement des utilisateurs par l’analyse et les modifications des interfaces et de l’expérience usager ?

Imaginez un monde dans lequel vous seriez les acteurs du contenu audiovisuel. Un monde dans lequel votre avis aurait un réel impact sur vos émissions préférées. Ce projet va dans ce sens puisqu’il tente de créer une réelle connexion entre les diffuseurs et les téléspectateurs. L’interactivité est donc de mise, tentant de mettre l’utilisateur au […]

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Persuasive Micro-Data Videos (MDVs) to support children’s outdoor play and learning in schools

Micro Data Videos (MDVs) are short videos, typically under one minute in length, that incorporate data visualizations to tell compelling, data-driven stories. In today’s fast-paced world and with increasingly shorter attention spans, MDVs have become a highly popular format for disseminating data-based information. Their strength lies in the ability to present factual data to the […]

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Process design for interpreting deep learning model decisions using large language models

EBSCO and McMaster University’s Health Information Research Unit (HiRU) collaborate to enhance the delivery of high-quality, clinically relevant content to healthcare professionals. Through DynaMed, EBSCO’s evidence-based clinical resource, and HiRU’s literature surveillance program, McMaster PLUS, they provide a continuous stream of rigorously appraised articles from PubMed to clinicians globally and to DynaMed expert authors. Machine […]

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Hybrid Quantum-Classical Image Processing by Merging Enhanced Flexible Qubit Representation for Quantum Images equipped with Probability Distribution (EFQRQI-PD) and Machine Learning for Enhanced Accuracy

Image processing principles and techniques represent a significant advancement in modern technology, offering invaluable contributions to numerous sectors. Despite their efficacy, conventional AI and ML-based image processing algorithms encounter inherent limitations that obstruct their scalability and performance. The main aim of the proposed research project is to develop image processing algorithm based on quantum computing […]

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