Artificial Intelligence embedded in a car in an Embedded Vision (EV) system or a in the cloud (on a server rack) have common requirements
- Rapid access to memory for data process
- Rapid access to on chip and off-chip resources
- Rapid access to sensors to gather raw data information
- Local processing power
For AI, decisions need to be made rapidly, often through the input of a lot of data at once. This requires low latency and high throughput.
For the purposes of this Blog, we will focus on one example in the car, but you can see there are at least 6 areas of application for AI.
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