This webinar explores how AI‑primarily based digital sensors can be utilized to estimate indicators which can be troublesome or pricey to measure, reminiscent of battery state of cost (SOC) in Battery Administration Programs. Utilizing a sensible instance, the session demonstrates how AI fashions will be built-in into system‑stage design and validated in opposition to efficiency, useful resource, and deployment constraints.
The workflow exhibits the best way to design, confirm, compress, and deploy AI‑primarily based digital sensors to embedded processors inside a single surroundings.
You’ll learn to:
- Combine AI fashions into Simulink® for system‑stage simulation and verification
- Apply formal verification to evaluate neural community conduct
- Optimize fashions for reminiscence footprint and execution pace
- Generate and profile library‑free C code for embedded deployment
- Consider design tradeoffs throughout accuracy, efficiency, and deployment targets
