Grants and Contributions

A research and development project to identify and build mechanisms to help non-data-science customers integrate, understand, and use analytical reporting solutions.

The project involves developing an AI-driven, inline sensor solution to determine batter coverage and batter pick-up for the frozen French fry sector. The project involves the final research, design, and development of the solution with the goal of developing a commercially viable product.

Provide employment for a Youth in software and firmware development of automated testing stations.

New module to the firm's software suite allowing to build a company directory in order to manage personalized employee records according to their context. The module will also allow to build a dynamic job card linked to the organization's processes.

The management of technology in the home can unnecessarily burden older adults and, if done incorrectly, create substantial risks to both security and privacy. This is particularly problematic with the increased adoption of Internet-of-Things (IoT) devices such as smart speakers, which are easier to expose users’ privacy or security, especially for those less technology savvy such as older adults. Currently, the privacy and security burden is on the consumer – a solution that is not practical when consumers such as older adults lack the technical expertise. This presents significant barriers to the use of digital technologies to support aging in place. To address these barriers, this Project aims to develop knowledge products (such as standards and design guidelines) that will assist both consumers and developers in securing the data of devices as well as the privacy of users by utilizing human-computer interaction techniques to develop usable security management for older adults.

The management of technology in the home can unnecessarily burden older adults and, if done incorrectly, create substantial risks to both security and privacy. This is particularly problematic with the increased adoption of Internet-of-Things (IoT) devices such as smart speakers, which are easier to expose users’ privacy or security, especially for those less technology savvy such as older adults. Currently, the privacy and security burden is on the consumer – a solution that is not practical when consumers such as older adults lack the technical expertise. This presents significant barriers to the use of digital technologies to support aging in place. To address these barriers, this Project aims to develop knowledge products (such as standards and design guidelines) that will assist both consumers and developers in securing the data of devices as well as the privacy of users by utilizing human-computer interaction techniques to develop usable security management for older adults.

Singulation, sortation, and visual inspection of food products before they are fed into packaging machines is one of the most labor intensive processes in food manufacturing. Laplace Robotics is building a core technology needed to singulate, sort and reject food products on a live conveyor using AI vision technology.

This project will support the firm to achieve key development and regulatory milestones for their bioprinted pancreatic tissue therapeutic for Type 1 Diabetes to advance to final IND-enabling studies, and to demonstrate their 3D bioprinting technology is a biomanufacturing platform by showing efficacy of bioprinted liver tissues in multiple liver diseases.

Software development project to expand the firm's fresh food distribution software platform

This project will accelerate the commercialization of Impact AI’s IntelliFlux software by supporting the necessary software engineering and integration testing for commercial deployment.

This project will further develop a machine learning framework that predicts when defects are likely to occur within the End User’s manufacturing process.