Grants and Contributions

The Project will support the development of an innovation plan to explore integrating AI into the Firm’s core business.

The firm aim to develop and commercialize a state-of-the-art AI-driven personalized skincare solution by using machine learning and computer vision. This AI driven approach provide real-time, tailored skin health diagnosis

Observation of the gas kinematics within the sphere of influence of the black hole in NGC 4696, the central dominant galaxy of the Centaurus cluster of galaxies, using JWST’s NIRSpec IFU. Due to its proximity, recent deep high-spatial?resolution HST images of NGC 4696 have, for the first time, revealed an intriguing swirl in the ionized gas that appears to lead directly to the black hole—providing a unique opportunity to understand black hole accretion processes and their relationship with galaxy scale. The objectives of the project include mapping the velocity structure of the swirl, comparing it with state-of-the-art MHD simulations, measuring the black hole's mass, examining Bondi accretion, probing radio jet interactions, and searching for hidden cooling flows.

This project will study a luminous quasar, a galaxy with an accreting supermassive black hole (SMBH) in its center, located far away and observed at a time when the Universe was just 800 million years old. The goal is to investigate how powerful winds and radiation from central SMBH influence the physical condition of the host galaxy. It has been long believed that such accreting SMBHs play a significant role in shaping the evolution of their host galaxies, yet the exact mechanisms remain largely shrouded in mystery. This project will map, for the first time, the physical conditions of the gas around the central SMBH and reveal its impact on the host galaxy. The results from this project will provide valuable insights into the galaxy formation and evolutions in the early Universe.

Isolated brown dwarfs are good examples of what extrasolar planets look like, while also being much easier to study as their observations are not hindered by the glare of a host star. This project will study how the content and properties of brown dwarf clouds depend on the temperature and pressure in their atmospheres, and thereby on their age. The observations will be very important for understanding the clouds and atmospheres of both brown dwarfs and extrasolar planets, and for interpreting future observations with JWST.

The purpose of this project is to support the creation of Sub-Projects that provide youth participants with quality employment opportunities and skills training in the natural resources sector (energy, forestry, mining, and earth sciences, as well as clean technology), which advances environmental outcomes and supports the transition to a low-carbon economy.

Shift Energy is developing an Optimal Control solution using machine learning technology that automatically optimizes the performance of your chilled water plant to reduce energy consumption by 30%.

At EXPO, Japanese universities learn in a workshop about TMU/DMZ’s Zone Learning model, focusing on entrepreneurship hubs and mentorship programs, while Canadian organizations share their incubator methodologies.

This project aims to conduct strategic visits to member institutions of the Association of Pacific Rim Universities (APRU) in Japan, the Philippines, Singapore, and South Korea to learn about their unique agricultural and sustainability needs.

Expansion of the Initio Technology and Innovation Law Clinic's reach through increased IP services offerings to the start-up community and experiential learning opportunities for university students.