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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Jumine – Détection des anomalies sur les convoyeurs

Le transport du minerai par convoyeur dans les mines est crucial pour l’efficacité et la rentabilité. Les convoyeurs nécessitent une préparation préalable du minerai par concassage pour améliorer la durée de vie de la bande, la fiabilité du système et réduire les coûts. Comparés aux camions, les convoyeurs présentent un avantage énergétique grâce à leurs […]

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LeddarTech : Simulation basée sur les données pour la conduite autonome

Les enjeux de données, collection et annotation, sont des points clés de l’industrie des véhicules autonomes et des systèmes d’aide à la conduite. La simulation apprise depuis les données, sans passer par une modélisation de l’environnement, est une technologie à haut potentiel pour toute l’industrie. L’enjeu principal reste la séparation du background foreground, permettant la […]

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Timed Monitorability in Theory and Practice

We will investigate a decision procedure for the monitorability of timed-properties of software controlled systems. A property defines a behaviour that a system is expected to exhibit, or in some cases, to not exhibit. In Runtime Verification, a property is monitorable if it is possible to construct a monitor that can detect the system’s conformance […]

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Design a quantum-safe blockchain using post-quantum cryptography.

Blockchain technology consists of a distributed ledger that operates through a decentralized network of data blocks, sequentially connected and regulated by consensus mechanisms. Initially developed to underpin cryptocurrencies like Bitcoin, broader business and technological sectors now recognize blockchains’ potential applicability across various fields, including healthcare, communication, and smart grids. Blockchains currently rely on established cryptographic […]

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GenAI for Digital Personality Modelling

Humans and animals have emotions linked to an individual’s personality traits, which becomes obvious when looking into the pet and pet-owner interactions. With the advancement of Generative AI, research suggests that it is possible to replicate individuals’ behaviors digitally so that avatars can engage in game-plays and platforms like digital twins and metaverse, for entertainments […]

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AI-Driven Insights from Knowledge Graphs via Integration with Large Language Models

In the current digital world, users are constantly sending companies signals of their experiences and preferences in various shapes and forms, including likes/dislikes of a particular offer/product, reviews on platforms and social media, and contacting customer service. However, despite the abundance of signals, E-commerce companies are unable to rapidly gain meaningful and actionable insights from […]

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