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IBM AI Fundamentals: Tesla’s Connected Cars

Discover how Tesla’s connected cars exemplify Broad AI by sharing and learning from each other’s autonomous driving experiences. Explore the different levels of AI and gain insights into the cutting-edge technology behind Tesla’s innovative vehicles.

Table of Contents

Question

Tesla cars are all connected and share what they learn when autonomously driving. This is an example of which of the following levels of AI?

A. General AI
B. Future AI
C. Broad AI
D. Programmable AI

Answer

C. Broad AI

Explanation

In Broad AI systems, several narrow systems combine to make more complex predictions. Tesla combines each car’s driving experience to increase the amount of data available to each car’s AI.

Tesla’s connected cars, which share their learnings from autonomous driving experiences, are an excellent example of Broad AI. Broad AI, also known as Weak AI or Narrow AI, refers to AI systems that are designed to perform specific tasks within a limited domain. These systems can be highly sophisticated and efficient in their designated areas but lack the general intelligence and adaptability of human cognition.

In the case of Tesla’s cars, the AI technology is focused on the domain of autonomous driving. Each Tesla vehicle is equipped with an array of sensors, cameras, and advanced software that enables it to navigate roads, detect obstacles, and make real-time decisions based on the data it collects. However, the true power of Tesla’s AI lies in the interconnectedness of their vehicles.

When a Tesla car encounters a new situation or learns from its experiences while autonomously driving, it shares this information with other connected Tesla vehicles. This shared learning allows the entire fleet of Tesla cars to benefit from the experiences of individual vehicles, continuously improving their performance and decision-making capabilities. As more Tesla cars hit the roads and gather data, the collective intelligence of the system grows, enhancing the overall effectiveness and safety of autonomous driving.

It’s important to note that while Tesla’s connected cars demonstrate impressive capabilities within the domain of autonomous driving, they do not possess the characteristics of General AI, Future AI, or Programmable AI. General AI, or Artificial General Intelligence (AGI), refers to hypothetical AI systems that can match or surpass human intelligence across a wide range of domains. Future AI is an even more advanced concept, often associated with superintelligence that far exceeds human cognitive abilities. Programmable AI, on the other hand, is a fundamental level of AI that allows algorithms to solve problems by following explicitly coded instructions.

In conclusion, Tesla’s connected cars exemplify Broad AI by leveraging the power of shared learning and specialization within the domain of autonomous driving. This technology showcases the potential of AI to revolutionize specific industries and improve our daily lives, even though it does not yet reach the levels of General AI or Future AI. As AI continues to advance, we can expect to see more remarkable applications like Tesla’s connected cars, pushing the boundaries of what is possible in various fields.

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