Grants and Contributions

This project strives to optimize technological integration for end-to-end trusted privacy automation on mainstream PaaS infrastructure.

Research project to determine the viability of culturing walleye in a Recirculating Aquatic System (RAS) for commercial purposes. Fry were grown out to 30 cm in length. Success of this stage warranted an expansion into phase 2. The objectives of the second phase are to culture the walleye to a commercial size and establish a brood stock program.

This project will be instrumental in further technological development of the advanced VendorPM property management platform. The development of this technology will further enable adoption amongst medium and large property management companies.

Development of a prototype philanthropic funding recommendation engine

Early identification of cognitive decline allows for earlier intervention with appropriate care so that entry to long term care can be delayed. This project explores two non-invasive assessments (eye-tracking and speech patterns) that have potential for cognitive assessment. Specifically, the project will design a system to capture voice and eye-gaze data during tasks, with the goal of detecting speech and oculomotor abnormalities associated with cognitive decline. It will combine the two modalities and leverage multimodal analysis techniques to generate more sensitive predictions. The project will analyze combinations of tasks to achieve the assessment. The project will collect longitudinal data, to allow intra-subject analysis in addition to cross-sectional analysis to validate the performance of the system. The project will lead to a more cost-effective approach for assessment that could be done at home or remotely and that is an alternative to more expensive or invasive diagnostic testing currently being done.

A Knowledge Base bot (KB Bot), providing on demand, company and departmental specific answers to natural language questions for internal use and consumption. The application bot will bring together employees, their questions and needs, and the company specific answers, driven by Microsoft Azure cognitive services for natural language processing and data warehousing.

The project would involve deeper integration of Smart Cocoon Smart Fan platform with smart home hubs like Amazon Alexa, Google Assistant, as well as prominent Smart Thermostats, Nest and ecobee

The immediate technical objective of the project would be to perform the R&D and product development for the next generation ESM product. Although leveraging existing capability, the R&D envisioned involves pushing existing limits and expanding the status of existing technology.

Early identification of cognitive decline allows for earlier intervention with appropriate care so that entry to long term care can be delayed. This project explores two non-invasive assessments (eye-tracking and speech patterns) that have potential for cognitive assessment. Specifically, the project will design a system to capture voice and eye-gaze data during tasks, with the goal of detecting speech and oculomotor abnormalities associated with cognitive decline. It will combine the two modalities and leverage multimodal analysis techniques to generate more sensitive predictions. The project will analyze combinations of tasks to achieve the assessment. The project will collect longitudinal data, to allow intra-subject analysis in addition to cross-sectional analysis to validate the performance of the system. The project will lead to a more cost-effective approach for assessment that could be done at home or remotely and that is an alternative to more expensive or invasive diagnostic testing currently being done.

Create an infrastructure for analyzing data using artificial intelligence and machine learning. Integrate the AI / ML findings into our existing products. Enhance our platform with Automated Accounts Payables, and Vendor Buying Agreements. Enhance our back-end architecture to allow us to provide functionality to a wider audience of users.