This webinar explores how AI‑primarily based digital sensors can be utilized to estimate indicators which can be tough or pricey to measure, corresponding to battery state of cost (SOC) in Battery Administration Techniques. Utilizing a sensible instance, the session demonstrates how AI fashions might be built-in into system‑stage design and validated towards efficiency, useful resource, and deployment constraints.
The workflow exhibits the way to design, confirm, compress, and deploy AI‑primarily based digital sensors to embedded processors inside a single setting.
You’ll discover ways to:
- Combine AI fashions into Simulink® for system‑stage simulation and verification
- Apply formal verification to evaluate neural community habits
- 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
