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2. General AI (Strong AI): General AI refers to a machine that has the ability to understand, learn
and apply knowledge in a manner similar to human beings. It can perform any intellectual task
that a human can do. Currently, general AI is theoretical, and no machine has reached this level
of intelligence yet.
3. Superintelligent AI: Superintelligent AI is a hypothetical AI that surpasses human
intelligence in all areas, including creativity, problem-solving and social intelligence.
Superintelligence is speculative and not yet realised.
Applications of AI
We are at Narrow AI right now AI has various real-world
applications across many industries. Some key examples include:
Healthcare: AI is transforming healthcare by enhancing
diagnostics, treatment planning and patient care. AI-driven tools
can analyse medical data, such as X-rays, MRIs and lab results,
to identify patterns and help doctors make accurate diagnoses.
For example, AI-powered diagnostic tools like IBM Watson Health help doctors identify diseases like
cancer with greater accuracy.
Autonomous Vehicles: AI is the backbone of autonomous
(self-driving) vehicles. It enables cars to analyse their
surroundings, make decisions in real-time, and navigate
without human intervention. AI systems use sensors,
cameras, and machine learning to detect obstacles, follow
traffic rules, and ensure safe driving. For example, Tesla’s
self-driving cars use AI algorithms for navigation, object
detection, and route planning.
Natural Language Processing (NLP): NLP enables
computers to understand, interpret, and generate human
language. It is used in voice assistants, chatbots, and
translation services, allowing machines to communicate
with humans in a natural and intuitive way. For example,
Virtual assistants like Amazon's Alexa, Apple’s Siri, and
Google Assistant use NLP to process voice commands and
provide responses.
Robotics: AI-powered robots are revolutionising industries
such as manufacturing, agriculture, and healthcare. These
robots can perform tasks that are dangerous, repetitive, or
require precision. In industries like manufacturing, robots can
assemble products, inspect items for defects and package
goods with speed and accuracy. For example, AI robots in
warehouses, like those used by Amazon, can autonomously
move and organize goods.
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