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ChainTusker - Narrow AI: The Smart Tools of Today

There are two types of AI, and in this article we take a look at one of the two, Narrow AI.....

 · 2 min read


Today we take a look at what is Narrow Ai aka Weak AI. Narrow AI was designed to perform specific tasks. It is limited to a particular domain unlike General AI which can perform intellectual tasks.


However, despite its limitations it has become a part of our lives, powering a lot of things we use in our day to day lives. For example


Virtual Assistants

Alexa, Siri and Google Assistants are all examples of Narrow AI. They understand and respond to voice commands, and are designed to perform tasks like playing music, answering questions and setting alarms.


Recommendation systems

Have you ever wondered how Netflix always manages to suggest the right content for you?

Well the secret is out, Narrow AI is responsible in suggesting content based on your past behaviour. Platforms like Netflix, Amazon and Spotify analyse vast amounts of data and provide you with personalised recommendations.


Image & Facial Recognition

Narrow AI can identify objects, people, and faces in videos or images. This type of tech is usually used by law enforcement, security and on social media platforms.

These are just but a few examples.


HOW IT WORKS

Narrow AI systems are usually trained on a huge amount of dataset. This is done by using machine learning algorithms. The algorithms enable the system to learn patterns and make predictions based on those patterns.


Limitations

One of the major downsides of Narrow AI is that it is not capable of general intelligence, reasoning or consciousness. It is mainly designed to perform specific tasks, and lacks the ability to transfer knowledge or skills to new domains.


What does the future hold?

Narrow AI is most likely to continue playing a crucial role in people’s lives. As time goes on we can expect to see even more sophisticated and capable Narrow AI systems. However, it is important to recognize the limitations of narrow AI and to be aware of the potential risks and ethical implications of its use.













Chipo Kakora

Chipo Kakora

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