Grants and Contributions

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.

The Project will undertake research to assess the potential contribution of different technology solutions to reducing the full environmental impacts of marine shipping. One objective of this work is to produce a report on the current state of technologies supporting environmental impact reduction of shipping. A second objective is to develop an assessment framework tool to evaluate and prioritize technology development efforts that will minimize the total environmental impact of marine shipping, and thereby accelerate efforts in achieving the ultimate goal of ‘zero-impact shipping’. The definition of environmental impact in the Project not only includes the 2050 net-zero GHG emissions target but also includes additional environmental impacts like air, water pollution and impact on ocean life.

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.

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.