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. […]

Despite advancements in women’s health diagnostics, cervical cancer screening rates remain critically low due to the invasive nature of traditional collection methods like Pap smears and self-swabs. CELLECT is pioneering a non-invasive, nanotechnology-enabled collection device—the CELLECTPad—that passively captures high-quality cervical and epithelial cells during menstruation. By removing the discomfort and accessibility barriers of existing methods, […]

The Hospital for Sick Children (SickKids) is the largest paediatric hospital in Canada, and partners both locally and globally to improve the health of children through the integration of care, education, community advocacy, and patient/family partnerships. As a cornerstone of the work of the Division of Infectious Diseases, immunization is one of the most important […]

To research, develop and innovative upon existing and new image processing & calibration software for an ultra-resolution (up to 100MPx) multi-projection digital display. The solution is to be made to be distributable for embedding into custom in-line FPGA hardware to further enable high-speed parallel processing and eliminate bottlenecks in data communication.

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 […]

This project explores how people from different cultures make important life decisions, such as career choices or relationships. It focuses on understanding how cultural norms, social values, and religious beliefs influence decision-making. The research will use advanced text analysis (Natural Language Processing) and surveys to identify patterns in how people from different backgrounds approach decisions. […]

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 […]

The VT-PATCH project addresses a crucial gap in pediatric healthcare by introducing a user-friendly medical patch designed for short-term, continuous monitoring of infants and young children. Unlike the current complex system of multiple devices and wires, the VT-PATCH offers an all-in-one solution to measure vital signs like heart rate, respiratory rate, blood oxygen saturation, and […]

This project, part of the Global AI Alliance for Climate Action, aims to improve how the USA National Phenology Network (USA-NPN) collects and balances seasonal plant and animal data. By using large language models (LLMs) and AI-driven workflows, the project will help guide citizen scientists toward underrepresented species and locations, addressing gaps in the current […]

At Venn, we’re not just building a product—we’re revolutionizing how Canadian businesses operate. As a rapidly growing fintech startup serving over 3,000 Canadian businesses, our ambition is to streamline our internal processes as we scale towards supporting over 10,000 companies. To achieve this, we’re looking for a motivated individual to take ownership of high-impact projects […]

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 […]

Princess Margaret Cancer Centre belongs to the University Health Network (UHN), Canada’s leading biomedical research organization. The Centre focuses on cancer research across various fields, including genomics, informatics, signaling, health services, and biophysics. Dr. Kumar’s lab is currently investigating the consequences of genomic alterations in intrinsically disordered regions (IDR). IDRs are present in proteins that […]