This research project focuses on optimizing the efficiency and performance of motion diffusion models for real-time applications in video games. Diffusion models have shown great potential in producing high-quality and diverse human motion animations, but are often limited by their computational demands. This project will explore different model architectures and optimization techniques to reduce their […]

AXL is a venture studio focused on developing cutting-edge AI-powered applications. Their mission is to create the next generation of human-augmenting AI technologies by identifying real-world challenges and exploring novel technologydriven solutions. AXL conducts applied research in AI and Human-Computer Interaction, with a focus on product development and prototyping to fuel innovative startups. This project […]

Geotab creates hardware that it installs into customer vehicles. Telematic and video data from this hardware is collected and aggregated by its data platform where it can be used for analysis and machine learning endeavours to provide insights to customers. Large volumes of data are generated and must be ingested efficiently and accurately as well […]

1) Ocado group builds the Ocado Smart Platform, an end-to-end ecommerce, fulfilment, and logistics solution for smart online grocery businesses. This team develops cutting edge technologies across robotics, artificial intelligence, machine learning, and data science to support various stages of warehouse automation and logistics. Each application requires robots with specific capabilities tailored to different tasks. […]

Le projet consiste à développer un agent conversationnel intelligent, c’est-à-dire un assistant virtuel capable de répondre aux questions en utilisant des informations scientifiques fiables. Contrairement aux outils classiques de recherche sur Internet, cet agent est conçu pour fournir des réponses basées uniquement sur des données validées par des experts et provenant de sources reconnues en […]

Our project aims to revolutionize real estate marketing with an innovative AI-driven advertising system that automates the creation and optimization of digital campaigns for realtors. Tailored for real estate teams and brokerages, the system leverages BASL’s extensive market insights and performance data to generate personalized ad content. With a user-friendly interface, team leads can prompt […]

HINT est spécialisée dans la création de contenu pertinent. Nous supportons les organisations en leur permettant d’exploiter le plein potentiel de leurs données et de leurs expertises pour créer du contenu personnalisé, pertinent et approfondi. Elle développe des outils de gestion de connaissances et de création de contenu dans le but de permettre aux organisations […]

This project will create a dashboard for the automatic tracking of digital asset investments. By using data directly from the blockchain, this dashboard will be more accurate and comprehensive than existing solutions. Further, much of this work is currently being done manually and using spreadsheets by the partner, with this dashboard the expect to 3x […]

This project aims to develop advanced machine learning models to analyze arterial blood pressure (ABP) waveforms from patients in intensive care units (ICUs). By using a large dataset and cutting-edge techniques like transformer architectures and contrastive learning, the goal is to create models that can accurately predict patient outcomes, such as ICU mortality and hospital […]

This project aims to develop and apply AI technology within an IT Service Management (ITSM) system to improve IT support and efficiency. By training Freshservice’s Freddy AI using real data, we will enhance the accuracy of ticket handling, streamline repetitive tasks, and automate routine IT workflows. This will significantly reduce the workload of IT staff, […]

Royal Trillium Homes Inc. is a startup focused on transforming the real estate industry through creating an innovative platform and data-driven solutions. Through extensive market research, incorporating insights from PricewaterhouseCoopers (PwC), Deloitte, and direct feedback from clients, agents, and brokerages, critical inefficiencies exist. Currently the real estate industry relies on outdated processes, leading to mismatched […]

TD Bank, as a leader in financial services, relies on predictive modeling to improve customer insights, risk management, and fraud detection. However, current machine learning approaches struggle to scale effectively across TD’s vast transactional datasets, leading to challenges in handling heterogeneous financial products, long-term forecasting, and multi-task learning. This project aims to address these challenges […]