Grants and Contributions

The objective of this project is to develop a solution that will detect the abnormal activity of dairy and beef cattle and will trigger alerts to producers. The solution of monitoring cow's activity level will incorporate an IoT sensor, cloud platform and Machine Learning module to helps dairy producers with a series of important decisions (e.g. breeding time, sickness, etc.)

Under the supervision of the Program Manager, carry out admin tasks for small to large projects, including but not limited to:
project planning; monitoring and reporting project performance/expenditures; track and ensure compliance of contract requirements; work with subject matter experts to provide support where required; organize/maintain document repositories

Andalusia Speech is expanding its virtual speech therapy service delivery models across the province of Ontario and nationally. The scope of the Marketing Coordinator is to promote the hybrid model of in person service delivery and highlight the virtual therapy offerings available to the appropriate marketing using digital marketing strategies.

This project will focus on enhancing the firm's quality-assessment solution. The key areas of enhancement include a more comprehensive suite of reporting tools and support of the newly-released Mammography Phantom from the American College of Radiology, in addition to improved supportability and scalability.

Advanced SEO, Content and Sales Process Optimization to boost marketplace growth

The goal of this project is to develop an AI to measure the level of bias in AI systems due to lack of diversity in training data.

ICwhatUC will explore, validate and develop advanced in-call and post-call features into their software, enabling mobile workers to make real-time situational decisions based on ICwhatUC artificial intelligence predictions. ICwhatUC will partner with two of their customers, a major energy distributor and a major gas distributor, to develop this functionality based on their unique industry use cases and with permission using data derived from their employees and work.

This project is to help the firm engage with European partners and develop co-innovation partnerships with European multi-national enterprises (MNEs), industry leaders, and key global value chain actors, through the EUREKA ITEA Cluster.

The MedStack Control platform is currently optimized for running web-based applications that integrate with external services and APIs. In listening to our existing and potential customers and performing market research, we’ve identified a market need for privacy compliant machine learning machine learning on datasets containing protected health information (PHI).

We’ve identified that Amazon Web Services (AWS) offers best-in-class machine learning resources that maximize performance and cost savings given their configuration of Nvidia GPUs.

MedStack Control will leverage an orchestrator to manage infrastructure and workloads deployed to cloud environments. Our research leads us to believe that Kubernetes is a suitable orchestrator.

The scope of this project is to employ youth resources to help conduct product testing and QA testing on the Firm's sports coaching platform and application.