Juniper Genomics is a forward-thinking company that uses advanced genetic technology to help people going through IVF (in vitro fertilization) make more informed decisions and improve their chances of having a successful pregnancy. While their science is cutting-edge, they currently lack a strong digital presence, especially on social media. This makes it hard for potential […]

Patients can use secure messages to communicate with their healthcare providers through patient-facing patient portals. While patients like the use of secured messaging, it also increases the workload burden for providers, and as such, providers often do not offer it to patients. With recent years of technological innovation, electronic hospital records software has developed AI-generated […]

Working Together (WT) is a multi-agency collaborative project supporting frontline organizations affiliated with the Thunder Bay ID Action Group to provide Personal Identification Services (PID) for people who are marginalized and low income. This project employs a community-based action-oriented research approach to better understand the role played by existing ID services in the region and […]

Mastercard works with improving and securing payments of millions of cardholders and merchants. One of the primary objectives of Mastercard’s work is to detect and prevent fraudulent payments. There are several ways of committing such fraud, often such fraud can happen due to vulnerability of the merchant to such fraudulent threats and several other underlying […]

Manufacturing companies often face challenges like unexpected equipment breakdowns, shifting production needs, and resource shortages or surpluses, which can lead to delays in production schedules. Traditional systems struggle to manage these issues effectively. Our project introduces a better solution using Digital Twin (DT) technology, which creates a real-time digital replica of a factory’s operations. This […]

This project address the so-called Quantum Marginal Problem from a mathematical, physics and computational perspective. It develops the mathematical theory of optimal transport adapt to quantum states in order to make fundamental advances in physical aspects and computational algorithms solving the quantum marginal problem.

When Kinaxis trains its machine learning models, it does so on two time scales. Every week or so, it looks at around 10 billion sales records and tries to learn the rapidly-changing “parameters” that best describe this data. Every 3-6 months, it updates 10 thousand collections of “hyperparameters” that govern the parameter-learning process. Kinaxis would […]

Titanium alloys are used to manufacture aerospace components that require high strength at high operating temperatures such as fan blades, heat shields and jet engine exhaust cones. Parts that have complex geometries are commonly formed at high temperature (around 900°C) so as to achieve maximum ductility during the forming process. By applying a small oscillating […]

Target 2035 is an ambitious goal supported by the Structural Genomics Consortium (SGC) to develop pharmacological modulators of all proteins encoded within the human genome by the year 2035. These compounds, referred to as chemical probes, are made available to the public and enables researchers to investigate biological processes in a more effective manner. The […]

The objective of this research project is to design, fabricate and test a prototype wireless power transmission system that uses a thermophotovoltaic (TPV) system to receive the power beam. By using a TPV system as the receiver (instead of a photovoltaic cell) the electromagnetic radiation can have almost any wavelength. This opens a broad range […]

This research project aims to develop a comprehensive predictive framework for heat treatment furnaces to enhance operational efficiency, product quality, and environmental sustainability. The project focuses on creating a data preprocessing pipeline tailored for big machinery sensor data, innovative AI-enabled anomaly detection models, real-time furnace operation analysis, and quality prediction models. Key objectives include obtaining […]

Scispot is an innovative company dedicated to revolutionizing the biotech industry through the integration of advanced scientific tools and technologies. Scispot is backed by Y Combinator, Velocity, OBIO, OCI, and CDL. Our mission is to enable every biotech lab to streamline their operations, enhance productivity, and accelerate scientific discoveries.