Boson AI is an early-stage startup of 30 scientists. They are building large language tools for interaction and entertainment. They are seeking interns from the University of Toronto to join them in their Toronto office. The intern will work on modeling and training LLMs, understanding and interpreting model behavior and aligning models to human values. […]

Pillar Science améliore sa plateforme propulsée par l’IA qui connecte les chercheurs universitaires avec des partenaires industriels pour favoriser l’innovation et le transfert de connaissances. Ce projet vise à améliorer significativement la précision des recommandations pour les entreprises de niche en intégrant des sources de données alternatives. Le stagiaire développera des méthodes pour incorporer de […]

(1) Main activities of the partner Geotab is a global leader in telematics specializing in fleet management solutions to enhance operational efficiency, safety, and sustainability. For this project Geotab will be providing their vast collection of data from over 80,000 customers. Additionally, Geotab will provide the intern with support and structure within their data science […]

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 […]