How does latency affect data accuracy in AI systems?

How does latency affect data accuracy in AI systems?

Latency can significantly impact data accuracy by delaying the processing and response times, leading to outdated or incorrect information.

Can you give me an example of how this happens in real-world applications?

Sure! In autonomous vehicles, high latency can result in delayed reactions to obstacles, potentially causing accidents.

What are some ways to reduce latency in AI systems?

Reducing latency can be achieved through optimizing algorithms, using faster hardware, and improving network connections.

Is there a threshold for acceptable latency in critical applications?

Yes, in critical applications like healthcare, latency should ideally be below 100 milliseconds to ensure timely decision-making.