Grants and Contributions

The Project will support the development of an innovation plan to explore integrating AI into the Firm’s core business.

The Project will support development of intellectual property capacity within the Firm.

The project is to develop a system where during the AI training phase the AI can tell its predictions to the engineers and the engineers can adjust incorrect predictions by entering the correct value. The AI then adjusts its model to correct the incorrect predictions

Study and analysis of construction robots available around the world, and their applicability and use for construction of a multi-story residential building.

This project aims to transform a novel form of spectroscopy data analysis by implementing AI and machine learning (ML) technologies to achieve substantial improvements in accuracy and efficiency. A scalable, secure, and efficient target architecture and foundational model will be selected and documented to support the integration of AI capabilities.

The final phase of this project will involve the seamless integration of ML models into the device hardware, ensuring synchronized communication between software, hardware, and algorithm components. Rigorous internal verification will optimize performance metrics, while algorithms will be validated and tested through controlled lab experiments and field trials.

Project will support the development of certain AI capability and an AI project that would support a unique opportunity to amplify capabilities and deliver more value to clients.

The Firm develops bioinformatics- and ML-based approaches to analysis of large diverse data sets, identifying epigenetic signatures of health and disease. This project is the development of ML-based approach for predicting the best treatment option for inflammatory conditions and cancer.

This project mission is to simplify customer research and enhance understanding, empowering businesses to innovate and deliver superior products and services.

This Project encompasses the design and implementation of the following elements for the commercialized version of the Tunnel Load Master (TLM): the command and control software, and the batch manufacturing engineering model of the fabrication components. This includes the design from concept to production-applicable, TLM matched advanced mine tunneling cycle. This new approach to tunneling in mines, functioning while the personnel are a minimum of 5 meters from the tunnel face throughout the entire cycle, enables the design of a new drill and blast series of tasks to advance the tunnel face forward, far shorter cycle time compared to the industry standard method.

This project advances microbiome testing through 2 additional assessment products and metadata evaluation for drug discovery. This initiative strengthens microbiome analysis, personalized health insights, and future therapeutic advancements.