Grants and Contributions

The synthesis of motion data presents a significant opportunity to address key scientific gaps in the study of human activities and interactions, particularly in the context of developing assistive agents to support older adults aging in place. One of the primary challenges in this domain is the scarcity of comprehensive and diverse datasets that accurately capture the intricacies of daily activities and interactions within home environments. Existing datasets often lack the granularity, realism, and size necessary to train AI models effectively, hindering the development and deployment of assistive technologies tailored to the specific needs of older adults. Furthermore, the synthesis of motion data allows augmenting existing datasets or generating entirely new datasets that encompass a broader range of activities and scenarios, thereby enabling more robust and generalizable AI models. By bridging this data gap through AI-driven synthesis, new opportunities can be unlocked for studying human behavior, understanding social dynamics, and ultimately designing more personalized and effective assistive agents to support older adults in maintaining their independence and quality of life while aging in place

The Firm seeks to hire and train a Graduate into its software development team. This project will include training on multiple systems and software the firm employs, quality assurance testing, and general product development.

International Co-Innovation Action Program (ICAP) Project - CarbonRun is a river restoration & carbon removal company.

Our technical challenge is evaluate our ingredients, cooking processes, and packaging in order to pinpoint and eliminate factors that would hinder shelf-life extension and jeopardize sales growth.

Simulating optical components at micro and nanoscale using general purpose 3D optical solvers is often computationally expensive.

Process engineering to identify gaps in the firm's processes and to develop and implement solutions for improvements to achieve higher outputs and reduced cycle time.

This system is now advancing towards generating fault-tolerant qubits based on the generation of Gottesman-Kitaev-Preskill (GKP) states. The Project will explore two key paths with focus on quantum computation based on CV systems.

This system is now advancing towards generating fault-tolerant qubits based on the generation of Gottesman-Kitaev-Preskill (GKP) states. The Project will explore two key paths with focus on quantum computation based on CV systems.

The identified project focuses on developing a secure, scalable digital platform for both building owners and carbon credit buyers, alongside robust GHG quantification and financial models, to drive sustainable investment in building decarbonization.

The project being worked on is building a fleet assistance system for trucking industry. The outcome from the Fleet Assist project will result in transforming the customers fleet of trucks into smart, connected and AI enabled trucks.