Which technologies are often identified as part of artificial intelligence (AI)?

The selection that includes machine learning, natural language processing, robotics, and computer vision accurately encompasses key technologies within the realm of artificial intelligence (AI).

Machine learning is a foundational aspect of AI, enabling systems to learn from data, identify patterns, and make predictions or decisions without explicit programming for each task. Natural language processing (NLP) allows machines to understand, interpret, and generate human language, facilitating communication between humans and computers.

Robotics incorporates AI technology to enable machines to perform tasks that require varying levels of autonomy, from simple repetitive actions to complex decision-making in dynamic environments. Computer vision empowers machines to analyze and interpret visual information from the world, emulating human sight and enabling applications such as facial recognition and object detection.

The other options do not encompass technologies that are classified as AI. While quantum computing and cloud storage are influential in computing and data management, they are not inherently AI technologies. Similarly, social media platforms and e-commerce tools provide functionality in their respective domains but do not directly pertain to AI technologies. Graphic design software and databases serve specific purposes within digital creation and data management but do not fall under the umbrella of artificial intelligence.