Title:
AI Qualification and Planning for Improving Core Products and Services at Absolute Tool Technologies
Agreement Number:
1024556
Agreement Value:
$75,000.00
Agreement Date:
Nov 18, 2024 - Apr 11, 2025
Description:
The Project will support the development of an innovation plan to explore integrating AI into the Firm’s core
business. Specifically, we intend on evaluating how deep learning AI can be applied to optimize scheduling in the machining department, in order to improve mould quality and build efficiency.
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:
Oldcastle, Ontario, CA N9G 0C4
Reference Number:
172-2024-2025-Q3-1024556
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
814468476
Recipient Type:
For-profit organization
Recipient's Legal Name:
Absolute Tool Technologies Inc.
Federal Riding Name:
Windsor--Tecumseh
Federal Riding Number:
35116
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