The age of is already upon us with overwhelmed information and funding sailing the sector to improvement. Narrow vs General :
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Almost six decades back, the term ‘’ was coined for a summer conference at Dartmouth University, organised by a young computer scientist named John McCarthy. Their ambiguous project to create a computer that could use language, form abstractions and concepts, and solve problems marked the beginning of technology. From there, humans are rushing to artificial general intelligence (AGI) today.
Artificial intelligence is defined as the capability to which a machine can exhibit intelligent characteristics. The technology is conquering every industry and is invading people’s everyday life. The age of is already upon us with overwhelmed information in form of big data. Because of the constant flow of information on , it is becoming increasingly difficult to pinpoint what exactly is. We have travelled through Narrow for a long time and are on a race to reach General . As we talk about general , two theories on General are making their rounds across tech medium. One is based on fear of a dystopian future where super-intelligent robots take over the world by wiping off humankind, as portrayed in science fiction movies. The other theory is on an optimistic note where and humans go hand in hand to accomplish every process. Let us take a look back at the path we travelled and the opportunities that will unfold in the future.
What is Narrow ?
Artificial Narrow Intelligence (ANI) also known as ‘weak ’ is defined as a specific type of in which a technology outperforms humans in some very narrowly defined task. Narrow is particularly programmed to perform a single work such as checking the weather, playing chess, analyse raw data content, facial recognition, detection, driving a car, searching on internet, etc.
Even though these machines look intelligent for the current trends, they only operate under a narrow set of constraints and limitations. That is why this type of is commonly referred to as weak . Narrow doesn’t mimic or replicate human intelligence; it merely simulates human behaviour based on a narrow range of parameters and contexts. Narrow has been through a lot of unsuccessful attempts in the past decades. Machine learning and are some of the technologies that fuelled more innovation into the sector powering narrow . Some of the examples of narrow are,
• Google search
• Virtual assistants like Siri by Apple, by Amazon and Cortana by Microsoft
• Facial recognition tools and software like Clearview
• Recommendation systems that use analysis to suggest products, movies, songs, etc from previous lists
• Spam filters that keep email inboxes clean
What is General ?
Artificial General Intelligence (AGI) also known as ‘strong ’ allows a machine to apply knowledge and skills in different contexts. This more closely mirrors human intelligence by providing opportunities for autonomous learning and problem-solving. In other words, AGI can successfully perform any intellectual task that a human being can. This is the sort of that sci-fi movies portray. […]
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