Interested to Buy Any Domain ? << Click Here >> for more details...
Can you explain the concept of edge computing and its relationship to Edge AI?
- 1 Answers
- 95 Views
- I also Faced
- E-Mail Answers
Answer Posted / Sumana Mondal
Edge computing refers to data processing at the source of data generation, often close to or on IoT devices themselves. This approach minimizes latency and bandwidth usage by reducing the amount of data that needs to be transmitted to a cloud or central server for processing. Edge AI is a subset of artificial intelligence that involves applying machine learning models directly onto edge devices to perform computations at the point where data is generated, thereby reducing latency even further and improving responsiveness. By performing AI tasks locally on edge devices, the need for real-time data transfer can be eliminated, resulting in more efficient and autonomous systems.
| Is This Answer Correct ? | 0 Yes | 0 No |
Post New Answer View All Answers
How can you detect bias in AI models?
What are the advantages of low-power AI models?
Explain the role of GANs (Generative Adversarial Networks) in art creation.
Can you describe the importance of model interpretability in Explainable AI?
Why is it beneficial to run AI models on edge devices (IoT)?
Discuss the ethical challenges of using AI in healthcare.
How do you approach deployment of AI models?
How does explainable AI (XAI) improve trust in AI systems?
What are the advantages of running AI models on IoT devices?
How can federated learning be used to train AI models?
What are the limitations when applying AI in climate modeling?
What is your understanding of the different types of cloud-based machine learning services?
How does AI intersect with human bias and societal inequities?
How does human feedback improve AI models?
How does XAI address regulatory compliance issues?
