Question:
Directions (Q. 16 – 20): Read the following passage carefully and answer the question that follows:
Artificial Intelligence in edge computing has drastically transformed real-time decision-making in autonomous systems. By shifting computation from remote cloud servers to local gateways and edge microcontrollers, latency is minimized to microseconds. However, edge deployments introduce stringent power and thermal constraints. Engineers must optimize neural network architectures through techniques like post-training quantization, pruning, and knowledge distillation, without incurring catastrophic degradation in classification accuracy.
In the passage, the phrase ‘catastrophic degradation’ most nearly means:
Directions (Q. 16 – 20): Read the following passage carefully and answer the question that follows:
Artificial Intelligence in edge computing has drastically transformed real-time decision-making in autonomous systems. By shifting computation from remote cloud servers to local gateways and edge microcontrollers, latency is minimized to microseconds. However, edge deployments introduce stringent power and thermal constraints. Engineers must optimize neural network architectures through techniques like post-training quantization, pruning, and knowledge distillation, without incurring catastrophic degradation in classification accuracy.
In the passage, the phrase ‘catastrophic degradation’ most nearly means:
Options:
- Disastrous decline or severe loss in performance
- Gradual and negligible improvement
- Temporary minor variance
- Unprecedented boost in computational speed
- प्रदर्शन में विनाशकारी गिरावट या भारी नुकसान
- क्रमिक और नगण्य सुधार
- अस्थायी मामूली बदलाव
- कंप्यूटिंग गति में अभूतपूर्व वृद्धि
Correct Answer: a)
Explanation: