- What skill areas are traditionally covered within embedded systems?
- Architecture design
- Code analysis
- Defect management/debugging
- Documentation
- Language skills
- Processes and standards
- Testing tools
- Why are intelligent systems now required in the industry?
- To solve problems that are not easy for a human to code for
- To scale system behaviors and results based on new data and situations
- To perform tasks that are easy for a human but traditionally difficult for computers
- To decrease system costs in certain applications
- And because it's cool and cutting edge
- What are the benefits of moving machine learning from the cloud to the edge?
- Bandwidth
- Power
- Cost
- Latency
- Reliability
- Security
- What image dataset is most commonly used in machine learning algorithm development?
- CIFAR-10
- What tools are used to train and deploy a machine learning model on an embedded...
