Development of data pipelines to support a regular reporting format for epidemiological insights and disease trends

Globally, there have been challenges in pulling together data, analyses, epidemiological insights, and unusual infection disease trends into comprehensive and regular reporting, that support pharmaceutical and life sciences organizations with timely intelligence for decision making. BlueDot has the knowledge and expertise to bring together these insights in a highly visual, easily understandable regular reporting format, […]

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Predicting Engine Failure from Vehicle Telematics

(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 […]

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Inventing the Future of AI Applications

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 […]

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Safety constrained learning for industrial manipulators

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. […]

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Immunization Barriers Among Newcomers

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 […]

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Scaling Tabular-Timeseries Foundation Models for Large-Scale Financial Data

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 […]

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Building a semi-supervised machine learning model to predict biomolecular condensates

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 […]

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Agent Learning in SLMs

The partner organization Layer 6 AI is a leading artificial intelligence research lab and a part of TD Bank Group. It focuses on advancing machine learning and deep learning technologies to drive innovation across various sectors including financial services. The company specializes in AI-driven solutions such as predictive modeling, recommendation systems, and natural language processing. […]

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Collision (or crash) Severity Inference

Geotab is a global leader in IoT and connected transportation, providing valuable insights to over 80,000 customers worldwide by collecting more than 4 billion data points daily. The Safety & Video Analytics team at Geotab currently detects vehicle collisions using in-house machine learning models on telematics data. However, the severity of crashes is currently assessed […]

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From Slow to Fast Thinking for LLMs

The partner, Boson AI Inc., is a leading AI solutions provider, specializing in customized model serving for businesses. Through this project, Boson AI aims to tackle key challenges in improving the reasoning capabilities of large language models (LLMs). While techniques like Chain-of-Thought prompting have shown promise in improving LLM performance on complex tasks, they remain […]

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Structural brain connectivity in predicting treatment outcomes in major depression

(1) CAMH is a research hospital that aims to improve the provision of clinical care to clients with psychiatric conditions through research. Through analyses of large-scale multi-modal data and clinical trials with biological assessments, the Kimel TIGR lab seeks to identify biological bases of psychiatric conditions that can be targeted using existing and novel treatments, […]

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