Which of the following technologies represents limited memory AI?

Limited memory AI refers to systems that can use past experiences to inform current decisions and improve their performance over time. This type of AI has the ability to retain and utilize data for a limited duration, allowing it to make decisions based on historical context.

Self-driving cars exemplify limited memory AI because they rely on the analysis of data gathered from sensors, cameras, and previous driving experiences to navigate and make real-time adjustments. These vehicles learn from past driving scenarios and can adapt to new conditions by recalling information about the road, obstacles, and traffic patterns.

In contrast, the other options like voice-activated assistants, facial recognition apps, or image recognition software typically either rely on more static models that do not adapt over time or employ different forms of AI not categorized under limited memory. These systems may utilize deep learning but do not embody the same decision-making evolution characteristic of limited memory AI.