NCA-AIIO Question 22
Select 3What are some of the key factors contributing to the recent rapid improvements and adoption of AI technologies in modern infrastructure?
- A
Advancements in GPU and accelerated computing technologies
- B
Increased availability of large labeled datasets
- C
Decline in the use of neural networks for AI applications
- D
Progress in deep learning algorithms and frameworks
- E
Development of AI-specific regulatory policies
Show answer and explanation
Correct answers: A, B, D
Explanation
The rapid improvements and adoption of AI are driven by a combination of factors, including advancements in hardware (e.g., GPUs), the availability of large datasets, and the evolution of deep learning algorithms and frameworks. These elements together have enabled faster, more efficient, and scalable AI solutions, making AI more accessible and impactful across industries.
- A. Correct.
Advancements in GPU and accelerated computing technologies have significantly improved the computational power required to train and deploy AI models efficiently, which is a critical factor driving AI adoption.
- B. Correct.
The increased availability of large labeled datasets enables the development of more accurate and robust AI models, as data is essential for training machine learning systems.
- C. Incorrect.
The use of neural networks has actually increased, not declined, as they are foundational to most modern AI techniques, such as deep learning.
- D. Correct.
Progress in deep learning algorithms and frameworks, such as TensorFlow and PyTorch, has made it easier for developers to implement and optimize AI models, accelerating adoption.
- E. Incorrect.
While regulatory policies are being developed to govern AI, they are not a direct factor contributing to the rapid improvements in the technology itself.