Updated: Dec 19, 2019
Cubent and Artificial Intelligence
No doubt, Technology plays a vital role, but it is not technology that creates success, it is people who uses the technology & makes it successful. Technology needs data, on the basis of the most accurate data that technology provides the leaders of the businesses take the right decision. In addition, the success of organization is to keep the businesses updated that is only possible to move from the old to new technologies.
New technology leaps happened from time to time throughout history. We are in the era of game changer; this game changer has many names like technical revolution, digitalization, era of machine learning and artificial intelligence.
I planned to write first blog of Cubent about Artificial Intelligence (AI). AI is the key feature of Cubent Services Ltd, it will not be wrong to say that AI and Machine Learning are the backbones of Cubent. Dedicated team of Cubent is doing research and development on AI and Machine Learning on daily basis.
You have heard a lot about AI, so what is Artificial intelligence
Artificial intelligence refers to a machine’s ability to imitate human cognitive abilities like problem solving and learning. These skills also require an understanding of language, speech and strategic thinking. We already encounter numerous applications of artificial intelligence on daily basis. For example, asking Siri for directions, when driving past Google’s autonomous vehicles, using self-parking or cruise control features, they all use AI applications. With AI, we can predict the mistakes, before they happen.
When I started to write about Artificial Intelligence, and came across these three types of AI, maybe there will be more categories of AI in future, but I found following three common ones and thought to write about them.
1. Artificial Narrow Intelligence
2. Artificial General Intelligence
3. Artificial Super Intelligence
Artificial Narrow Intelligence
Artificial Narrow Intelligence (ANI) is also known as “weak” Artificial Intelligence. ANI is programmed to perform single task. In simple words it is limited part of mind. [Siri Cortana & Google assistant are all examples of narrow AI]. ANI system can do tasks in real-time but they get information from a specific data set. This is the reason; ANI does not perform beyond its single task that is assigned to it to do. Normally, Narrow AI works within a pre-determined and pre-defined range.
Artificial General Intelligence:
Artificial General Intelligence (AGI) or “strong” Artificial Intelligence refers to machines that exhibit equivalent to human intelligence. In other words, AGI can successfully perform any intellectual task that a human being can do. Many people might be familiar with the concept of Artificial General Intelligence. AGI computer could be equally intelligent to human in every aspect. These machines would be capable of performing the same kind of intellectual tasks that humans perform with the same level of their qualities. Apple’s Co-founder Steve Wozniak suggested doing the coffee test as an indicator for AGI. During the test, a robot has to enter an average home and attempt to brew a cup of coffee. This means finding all tools, figuring out how they operate and then performing the task. A robot, who was able to complete this test, this is considered as an example of AGI.
Artificial Super Intelligence:
Artificial Super Intelligence will surpass human intelligence in many aspects form creativity, to general wisdom, to problem solving, machines will be capable of exhibiting intelligence that we have not seen in the brightest amongst us.
ASI is the field of research that Stephen Hawking has warned us about this. One of AI’s leading figures, Nick Bostrom has defined superintelligence as an intellect that is much smarter than the best human brain in practically every field, including scientific creativity, general wisdom and social skills. This slight or vast superiority to human intellect is disconcerting to scientists and laymen because its outcome is unknown. As a machine is capable of constantly learning and improving, itself and this process could be unstoppable.
In 2013, a computer had the intelligence level of a 4-year old child. In 2014, a computer was able to solve a mathematical problem so complex that the most intelligent human mind could not check for accuracy. Computer scientist and futurist Ray Kurzweil said that computer intelligence would reach human level by 2029, this is all possible due to ASI.
It is clear that AI has made the machines that are, in many ways, more capable than human minds. However, it will take a time before they are able to surpass human intelligence in every regard. When this day comes, the brightest minds on the planet will be aware of the risk of super intelligent computers and should be able to thwart any HAL 9000’s* before it is too late.