AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the Difference? by IBM Data and AI Team

IBM Data and AI Team. (n.d.). AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the Difference? IBM. https://www.ibm.com/think/topics/ai-vs-machine-learning-vs-deep-learning-vs-neural-networks

This article serves as a conceptual guide to the layered hierarchy of modern computing, defining artificial intelligence as the broad umbrella for machines that simulate human problem-solving. It clarifies that machine learning is a specific subset focused on using data to improve predictions, while deep learning represents an even more specialized field that automates feature extraction from massive, unstructured datasets. At the core of these systems are neural networks, the interconnected node layers that function as the structural backbone for deep learning algorithms. By distinguishing between weak and strong AI, the text ultimately provides a strategic framework for businesses to implement trustworthy and scalable technology to gain a competitive advantage.