Which among the following core concepts of Artificial Intelligence uses artificial neural networks inspired by the human brain to process complex data like images, text, and speech?
Deep Learning (DL) is a subfield of Machine Learning that employs artificial neural networks, particularly multi-layered architectures, inspired by the structure and function of the human brain. DL excels at processing high-dimensional data such as:
Images (e.g., object detection)
Text (e.g., sentiment analysis)
Speech (e.g., voice recognition)
While NLP and Computer Vision are application domains, and Machine Learning is the broader category, Deep Learning is the correct specific technique known for handling such complex tasks.
As per the PECB Lead Auditor Study Guide – Domain 1, Deep Learning is used when large volumes of unstructured or complex data are involved, and is referenced as the foundation of modern AI systems like voice assistants, recommendation engines, and image recognition tools.
[Reference: PECB Lead Auditor Guide – Domain 1, Section: "AI Concepts and Technologies", ISO/IEC 42001:2023 – Clause 8.2.3 (Operational Planning and Control), which involves selection of suitable AI approaches, ===========]
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