Answer Posted / Chandan Mishra
Edge AI is widely used in smart cities for traffic management systems. Sensors installed throughout the city collect data on vehicle density, speed, and direction, which are processed locally by edge devices to optimize traffic flow and reduce congestion. This real-time decision making can help minimize travel time, fuel consumption, and emissions.
| Is This Answer Correct ? | 0 Yes | 0 No |
Post New Answer View All Answers
Explain the concept of SHAP and its role in XAI.
What are the hardware constraints to consider when developing Edge AI applications?
Why is it important to address bias in AI models?
How can federated learning be used to train AI models?
How do domain-specific requirements affect AI system design?
How does explainable AI (XAI) improve trust in AI systems?
Explain the role of GANs (Generative Adversarial Networks) in art creation.
What methods are used to make AI decisions more transparent?
Can you describe the importance of model interpretability in Explainable AI?
What are some techniques for developing low-power AI models?
What are some of the major challenges facing AI research today?
Explain how AI models predict stock market trends.
How do you ensure that your models are fair and unbiased?
How is AI used in procedural content generation?
How do you approach deployment of AI models?