This video series is in the Embedded Software section of our Series Library.
The video (above) is the first in this series about trusting artificial-intelligence (AI) and machine-learning (ML) models and explainability. In each video, Heather Gorr, Ph.D, Senior Product Marketing Manager for MATLAB at MathWorks, talks with Electronic Design Editor, Bill Wong, about these topics and related details and issues that programmers, designers and developers are encountering.
In the first video, we discuss trust issues and how engineers can determine when a system employing AI is production-ready. This includes a discussion about BMW's AI oversteering detection system (Fig. 1).
Links to the subsequent videos will be added as each episode is posted.
- Research vs Reality: Do You Trust Your AI Model with Your Life? (see the video above)
- Research vs Reality: Model Explainability
- Research vs Reality: Testing the System, Pulling It All Together
Also check out the Building AI Models for High-Frequency Streaming Data video series in our Embedded Software section of our Series Library.
