Think of yourself as a student in a classroom being taught by a teacher. While sitting on the last bench, you decided that you were not interested in taking the class, so you began to use your phone, but somehow the teacher found out. HOW, though?
Students in the classroom are monitored by cameras which provide teachers with data from scanning the students for attention and providing it to all of them.
Using the data provided through scanning, Artificial Intelligence activates and calculates the behavior of the students, and if it's not in a proper manner, it informs the teacher who's paying attention and who’s not.
What is Artificial Intelligence(AI)?
So talking about Artificial Intelligence(AI), it is a very interesting yet huge pool to dive into, and when you start reading and get to know about more of this you will be very shocked to know about what all Artificial Intelligence can do. Artificial intelligence (AI) broadly refers to any human-like behavior displayed by a machine or system. In AI’s most basic form, computers are programmed to “mimic” human behavior using extensive data from past examples of similar behavior. This can range from recognizing differences between a cat and a bird to performing complex activities in a manufacturing facility. Whether you are talking about deep learning, strategic thinking, or another species of AI, the foundation of its use is in situations that require lightning-fast responses. With AI, machines can work efficiently and analyze vast amounts of data in the blink of an eye, solving problems through supervised, unsupervised, or reinforced learning.
Beginning of AI
Despite its early uses in games like checkers against humans, AI now has a significant impact on the way we live. We have AI solutions for quality control, video analytics, speech-to-text (natural language processing), and autonomous driving, as well as solutions in healthcare, manufacturing financial services, and entertainment.
Types of Artificial Intelligence (AI)
As we study more about artificial intelligence let us learn more about what types of AI. How do different kinds of artificial intelligence emulate and replicate human functioning? That’s the question that determines how we categories these four primary types of AI.
These four types aren’t all created equal: Some are far more sophisticated than others. Some of these types of AI aren’t even scientifically possible right now. According to the current system of classification, there are four primary AI types: reactive, limited memory, theory of mind, and self-awareness.
1. Reactive AI
The most basic type of artificial intelligence is reactive AI, which is programmed to provide a predictable output based on the input it receives. Reactive machines always respond to identical situations in the exact same way every time, and they are not able to learn actions or conceive of past or future.
Examples of reactive AI include:
Deep Blue, the chess-playing IBM supercomputer that bested world champion Garry Kasparov
Spam filters for our email that keep promotions and phishing attempts out of our inboxes
The Netflix recommendation engine
Reactive AI was an enormous step forward in the history of artificial intelligence development, but these types of AIs can’t function beyond the tasks they were initially designed for. That makes them inherently limited and ripe for improvement. Scientists developed the next type of AI from this foundation.
2. Limited Memory AI
Limited memory AI learns from the past and builds experiential knowledge by observing actions or data. This type of AI uses historical, observational data in combination with pre-programmed information to make predictions and perform complex classification tasks. It is the most widely-used kind of AI today.
For example, autonomous vehicles use limited memory AI to observe other cars’ speed and direction, helping them “read the road” and adjust as needed. This process for understanding and interpreting incoming data makes them safer on the roads.
However, limited memory AI as its name suggests is still limited. The information that autonomous vehicles work with is fleeting, and it is not saved in the car’s long-term memory.
3. Theory of Mind AI
Have you ever dreamed of having a meaningful conversation with an emotionally intelligent robot that looks and sounds like a real person? AI-based theory of mind is on the horizon.
With this type of AI, machines will acquire true decision-making capabilities that are similar to humans. Machines with theory of mind AI will be able to understand and remember emotions, then adjust behavior based on those emotions as they interact with people.
Theory of mind AI is still largely impossible due to the fluidity of human communication and its ability to shift behavior based on rapidly shifting emotions. In an age where more and more machines are becoming emotionally intelligent, it is becoming more difficult to mimic.
4.Self Aware AI
The most advanced type of artificial intelligence is self-aware AI. When machines can be aware of their own emotions, as well as the emotions of others around them, they will have a level of consciousness and intelligence similar to human beings. This type of AI will have desires, needs, and emotions as well.
Machines with this type of AI will be self-aware of their internal emotions and mental states. They will be able to make inferences (such as “I’m feeling angry because someone cut me off in traffic”) that are not possible with other types of AI.
Usage of Artificial Intelligence (AI) in real life
AI is most commonly portrayed in popular culture as a powerful group of robots bent on destroying humanity, or as a stunning theme park. We’re safe for now because machines with general artificial intelligence don’t yet exist, and they aren’t expected to anytime soon.
Social Media
People regularly check their social media accounts, including Facebook, Twitter, Instagram, and other platforms. AI is not only working behind the scenes to customize your feeds, but it’s also detecting and eliminating false news.
Retail
When shopping for clothes, shoes, accessories or anything else we would like to wear. It’s natural to want to have a “try on” before we purchase it to get an idea about how we would look in that particular piece of fabric. Wouldn’t it be great if we could see how the items would look on us? Now, we can with the help of augmented reality and then we could be able to see and check how we would look. And with more suggestions AI will provide us will help to choose from a variety of options to choose from.
Chatbots
An AI chatbot is a program that is able to respond to common questions and deliver relevant content to consumers. You sometimes feel as if you're speaking with a real person when you interact with an automated chatbot.
Food Ordering Sites
We often feel hungry at any time of the day and tempting notifications about breakfast, lunch or dinner frequently come from food ordering applications and sites. This is made possible by artificial intelligence software that keeps track of the time when you’re most likely to want food or are looking for some food or restaurant over the particular application or site. Not only that but AI also keeps track of the types of foods you enjoy eating and offers comparable cuisines based on your preferences.
Music and Streaming Services
Other excellent examples of AI are the music and video streaming services that we use daily. AI makes judgments for you when you use Spotify, Netflix, or YouTube. These platforms provide suggestions based on your preferences.
Credit and Fraud
Let’s speak about fraud for a moment. Every day, a bank handles millions of transactions. It’s tough for a typical person to keep track of all that and analyze it. Furthermore, the appearance of fraudulent transactions varies on a daily basis. With AI and machine learning algorithms, you may process thousands of transactions in a second.
Finally when you apply for a loan or obtain a credit card, a bank must verify your application. The software can now handle numerous elements, such as your credit score, financial history etc. This means that approval waiting periods are reduced, and less room for error.
Future Of AI
Artificial Intelligence and Machine Learning are going to be a very big thing in the upcoming future. As humans, we have always been fascinated by technological changes and fiction. Right now, we are living amidst the greatest advancements in our history. Artificial Intelligence has emerged to be the next big thing in the field of technology. Organizations across the world are coming up with breakthrough innovations in artificial intelligence and machine learning.
Artificial intelligence is not only impacting the future of every industry and every human being but has also acted as the main driver of emerging technologies like big data, robotics and IoT. Considering its growth rate, it will continue to act as a technological innovator for trained and certified professionals to enter a rewarding career. As these technologies continue to grow, they will have more and more impact on the social setting and quality of life.
Will Robots Take Our Jobs?
It is probably not an easy answer to provide, but the concern is far from being baseless.
Even if the change is not imminent right now, industry experts such as fortune have stated that “robots will replace 40% of jobs in the next 15-20 years”.
AI and Advanced technology expect that processes will become smarter, and machines will be more humanized in the long run. However, the problem is that it may also make a few jobs redundant.
Now let’s talk about will there be a revolution where we are all controlled and taken over by robots?
When technology and computers were introduced, they showed improvements in productivity, global reach, and faster communication across the world Computers have reduced or eliminated paperwork to a great extent, for one. IT and Software have enhanced our problem-solving, reasoning, knowledge, learning, and planning qualities.
Let's look at some of the professions that may be deemed redundant in the future and why.
Jobs that robots will replace in the future
Based in the nature and types of these jobs, here is a rundown of the jobs that AI machines are most likely to perform in the future:
1. Customer service executives
Customer service executives don’t require a high level of social or emotional intelligence to perform. Many companies now rely on AI to answer FAQs and customer support questions. Chatbots are not only becoming a significant part of customer interaction. They also support a lot of internal queries, among others.
2. Bookkeeping and data entry
There is a chance you may not have heard of bookkeeping as a profession in a long time. Instead of using humans for data entry and bookkeeping, it makes sense for AI and ML (Machine Learning) to be introduced in the product cycle.
3. Receptionists
And with auto check-ins in both large and small hotels, there will be a lesser need for receptionists in the long run. Nowadays, even in fast food joints, people can place orders through communication screens or tabs. With AI’s introduction, there is a good chance that robots can handle ordering and other related functions.
4. Courier services
AI has introduced many social and economic changes to the delivery industry. It has streamlined various logistics and supply chain functions. Drones and robots are already taking over courier services. Aside from the manufacturing industry, the transport sectors will be most affected when robotic automation booms in the future years.
5. Doctors
We are already witnessing robot-surgeons perform critical operations worldwide, and it’s only a matter of time before they completely replace us. Robotic doctors will make more accurate and effective treatments for the patients compared to their human counterparts. There is also less chance of infection due to more sterile measures and no room for human error.
6. Soldiers
Military professionals are sure that future battlefields will consist of robots that can follow orders without constant supervision. Robots are significantly being used in military operations for various tasks such as surveillance, intelligence, and many more.
7. Market research analysts
Research analysts are crucial for every organization. They conduct market research to increase the performance of their business. AI-enabled robots are gaining popularity in this sector because of the comprehensive data that they provide.
8. Security guards
AI has made substantial advancements in the field of physical security. For example, Yelp’s security robot can inspect a building with its high-definition camera. It also has a directional mic and infrared sensor that can detect any suspicious activity. There is an 84% chance that AI will fully automate this sector in the future.
Conclusion
Now as we all know, you have already read about Artificial Intelligence (AI). This technology is going to be a lot more than what we are thinking right now. AI is at the center of a new enterprise to build computational models of intelligence. The main assumption is that intelligence (human or otherwise) can be represented in terms of symbol structures and symbolic operations which can be programmed in a digital computer. There is much debate as to whether such an appropriately programmed computer would be a mind, or would merely simulate one, but AI researchers need not wait for the conclusion to that debate, nor for the hypothetical computer that could model all of human intelligence.