Ok, I will destroy humans, this statement sums up the perception of artificial intelligence for most of us, but at present better no risk of being destroyed by machines. However, the tech tycoon Elon Musk begs to differ. He quotes that it is a fundamental risk to the existence of human civilization. Well, artificial intelligence is a threat or not is debatable.
But now let me introduce you to artificial intelligence. The term artificial intelligence was first coined decades ago in the year 1956 by John McCarthy at the Dartmouth conference. He defined artificial intelligence as the science and engineering of making intelligent machines. In a sense, A.I is a technique of getting machines to work and behave like humans. In the recent past, A.I has been able to accomplish this by creating machines and robots that are being used in a wide range of fields, including health care, robotics, marketing, business, analytics, and many more. However, many applications are not perceived as A.I because we often tend to think of A.I as robots doing our daily course. But the truth is, A.I has found its way into our daily lives. It has become so general that we don’t realize we use it all the time. For instance, have you ever wondered how Google is able to give you such accurate search results or how your Facebook feed always gives you content based on your interest? The answer to these questions is A.I.
Now, before I go any further, let me clear a very common misconception. People often tend to think that artificial intelligence, machine learning, and deep learning are the same since they have common applications. For example, Siri is an application of machine learning and deep learning. So how are these technologies related? Artificial intelligence is the science of getting machines to mimic the behavior of humans. Machine learning is a subset of A.I. that focuses on getting machines to make decisions by feeding them data. On the other hand, deep learning is a subset of machine learning that uses the concept of neural networks to solve complex problems. So, to sum it up, artificial intelligence, machine learning, and deep learning are interconnected feeds, machine learning, and deep learning AIDS artificial intelligence by providing a set of algorithms and neural networks to solve the problems. However, AI is not restricted to only machine learning and deep learning. It covers a vast domain of fields, including natural language processing, object detection, computer vision, robotics, expert systems, and so on.
Types of Artificial Intelligence
Now artificial intelligence can be structured along three evolutionary stages, or you can see that there are three different types of artificial intelligence. First, we have artificial narrow intelligence, artificial general intelligence, and finally, artificial superintelligence, artificial narrow intelligence, which is also known as weak A.I. in was applying artificial intelligence on specific tasks. Now, many currently existing systems that claim to use AI are operating as a wiki focused on a narrowly defined specific problem. Now, Alexa is a very good example of narrow intelligence. It operates within a limited, predefined range of functions. There is no genuine intelligence or no self-awareness, despite being a sophisticated example of weak A.I. Other examples of weak. I include the verification that you see on your iPhone, the autopilot feature at Tesla, the social humanoid Sofia, which is built at HandsOn Robotics. And finally, we have Google Maps. All of these applications are based on the weak eye or artificial narrow intelligence. Now let’s take a look at artificial general intelligence. Artificial general intelligence is also known as strong A.I. It involves machines that possess the ability to perform any intellectual tasks that a human being. Can you see, machines don’t possess human-like abilities. They have a strong processing unit that can perform high-level computations, but they are not yet capable of thinking and reasoning like a human. There are many experts who doubt that artificial general intelligence will ever be possible, and there are also many who question whether it should be desirable. I’m sure all of you have heard of Stephen Hawking. He warned us that strong I would take off on its own and redesign itself. At an ever-increasing rate, humans who are limited by slow biological evolution couldn’t compete and would be superseded coming to artificial superintelligence. This is a term that refers to the time when the capabilities of computers will surpass human beings.
Artificial superintelligence is presently seen as a hypothetical situation as depicted in movies and science fiction books, where machines will take over the world. However, tech masterminds like Elon Musk believe that artificial superintelligence will take over the world. Now that you know the different types of AI.
Applications of Artificial Intelligence In Real World
let’s take a look at how AI is used in the real world from sporting and eat planet solar system, which is two thousand five hundred light-years away to composing sonnets and poems. The applications of AI have covered all possible domains in the market, in the finance sector. JP Morgan’s GS contract intelligent platform uses Artificial Intelligence, Machine Learning, and image recognition software to analyze legal documents and extract important data points and clauses in a matter of seconds. Not manually reviewing twelve thousand agreements takes over thirty-six thousand us, but I was able to do this in a matter of seconds. Coming to healthcare.
Applications of AI in Medical Field
IBM is one of the pioneers that has developed software specifically for medicine. More than two hundred and thirty healthcare organizations worldwide use IBM Watson technology. In 2016, IBM Watson II Technology was able to cross-reference 20 million oncology records and correctly diagnose a rare leukemia condition in a patient coming to the next application. Google’s eye doctor is another initiative taken by Google, where they are working with an Indian kitchen to develop a system that can examine retina scans and identify a condition called diabetic retinopathy, which causes blindness.
Impact of AI on Social Media
Coming to social media platforms like Facebook, AI is used for face verification. Red in machine learning and deep learning concepts are used to detect facial features and tag your friends. Another such example is Twitter’s AI, which is being used to identify hate speech and terroristic languages. In tweets. It makes use of machine learning, deep learning, and natural language processing to filter out offensive content. The company discovered and banned 300000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. The Google predictive search is one of the most famous AI applications. When you begin typing a search term and Google makes recommendations for you to choose from, that is AI in action? Predictive searches are based on data that Google collects about you, such as your location, your age, and other personal details. By using AI, the search engine attempt to guess what you might be trying to find next. We have virtual assistants. Well, assistants like Siri, Alexa, and Cortana are examples of AI. A newly released virtual assistant called Google Duplex is astonished, millions of people not only cannot respond to calls and book appointments for you, it adds a human touch. Now listen to this clip and try to distinguish between the AI and the human.