Title:
AI Platform training for dry AMD detection through Pilot Study
Agreement Number:
1025214
Agreement Value:
$75,000.00
Agreement Date:
Nov 1, 2024 - Mar 21, 2025
Description:
The Project will support pilot deployment of DeepMSI based AI models into clinical environment, optimize compute architecture that will help speed up the analysis of real time data, improve quantification of DryAMD disease biomarkers including drusen, pigment and GA.
Organization:
National Research Council Canada
Expected Results:
The NRC Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs
Location:
Kanata, Ontario, CA K2K 0G7
Reference Number:
172-2024-2025-Q3-1025214
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
833990914
Recipient Type:
For-profit organization
Recipient's Operating Name:
AI-Spectral
Recipient's Legal Name:
AI-Spectral Technology Corp.
Federal Riding Name:
Kanata--Carleton
Federal Riding Number:
35041
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Coverage:
The AI Assist program is designed to help innovative SMEs navigate the challenges of developing and adapting generative AI (GenAI) and deep learning (DL) solutions and to assist SMEs with awareness, planning and execution in order to develop these technologies safely and ethically