In simple words, AI or Artificial Intelligence is the simulation of intelligence processes by machines, especially computer systems. This field of study has become prevalent in today’s world. It is the natural intelligence’s simulation in computers that are programmed to learn and mimic human actions. These machines can also learn and do human-like activities as they gain experience. As this technology improves, it will have a significant impact on our life.
The main focus of artificial intelligence is to improve productivity and create ease for humans and help us make complex decisions with far-reaching implications. In this day and age, new and more improved machines are being invented rapidly.
It’s not too far that we’ll be preparing for the AI and Robotic Evolution that can change the world. Artificial intelligence can enable humans to live more meaningful lives free of hard labor and help manage the complicated network of interconnected individuals, businesses, states, and nations to work in a beneficial way for all humanity.
Currently, the goal of AI is shared by all of the tools and techniques that some programmers have developed over the last several years to simplify human effort and help us make better decisions. Meanwhile, if you are much interested in AI and online casinos, make sure to read our post about AI in Modern Casinos.
Working of Artificial Intelligence
1. Machine Learning
Machine Learning (ML) trains the computer to make decisions and conclusions based on previous experience. It recognizes the pattern and analyzes the previous data to understand the meaning of these data points to reach a possible conclusion without relying on the human experience. This automation, to conclude by analyzing data, saves businesses time and help them make better decisions.
2. Deep Learning
Deep learning is an ML technique that teaches computers to analyze inputs through layers to classify, infer, and predict results.
3. Neural Networks
Neural Networks run on the same principles as human neurons. They are a series of algorithms that detect the relationship between various underlying variables and interpret the data in the same way the human brain does.
4. Natural Language Processing
Natural Language Processing or NLP is a science of machine reading, understanding, and interpreting a language. When the machine understands what the user is trying to say, it responds to him accordingly.
5. Computer Vision
Computer Vision algorithms try to understand an image by dissecting it and analyzing various elements of the objects. These help the computers classify and learn from pictures to generate a better output based on past observations.
6. Cognitive Computing
Cognitive computing algorithms copy a human brain by analyzing text/speech/images/objects the same way humans do and producing the required output.
Types of Artificial Intelligence
1. Artificial Narrow Intelligence
Artificial Narrow Intelligence or ANI is the most common form of artificial intelligence. These systems are designed to solve a specific problem and do a single task effectively. They have limited capabilities like recommending a product to an e-commerce consumer or predicting the weather.
This is the only kind of artificial intelligence that exists in the modern-day. They can mimic and outperform human beings in limited circumstances, excelling only in highly controlled environments with a limited set of parameters.
2. Artificial General Intelligence
Artificial General Intelligence means AI, which has a human-level cognitive function in a number of disciplines like language processing, visual processing, computational functioning, reasoning, etc.
The programmers are still far away from developing an AGI system. For mimicking human reasoning, an AGI system needs to be composed of thousands of Artificial Narrow Intelligence systems working in combination and interacting with one another.
Even with the most modern computing systems and infrastructures available, like Fujitsu’s K Computer or IBM’s Watson, it takes 40 minutes to mimic a single second of neuronal activity. This highlights the enormous complexity and human brain’s interconnection and also the immensity of the problem of creating an AGI with existing resources.
3. Artificial Super Intelligence
Many people consider Artificial Super Intelligence as the next obvious step after AGI. An Artificial Super Intelligence system can outperform all human skills, including making better art, building emotional relationships, and decision and rational decision making.
If we achieve Artificial General Intelligence, AI systems will rapidly develop their skills and expand into the areas we could never have imagined. Whereas the gap between AGI and ASI is relatively small, the long trip ahead towards AGI itself makes this appear to be a concept that lies far into the future.
Uses of Artificial intelligence
In the Health Care Field
Administration
The AI systems help with regular, everyday administrative tasks to reduce human errors and increase efficiency. NLP is used to transcribe medical notes and to arrange the patient’s information so that the doctors can read it more easily.
Telemedicine
In non-emergency situations, patients can contact the hospital’s AI system to analyze their symptoms, input their vital signs, and determine whether there is a need for medical attention or not. This decreases the workload of medical professionals by bringing them only to the most critical situations.
Assisted Diagnosis
Because of computer vision and artificial neural networks, AI is now more capable of reading MRI scans to look for tumors and other harmful growths at a tenfold faster rate than radiologists, with a significantly lower margin of error.
Robot-Assisted Surgery
Robotic surgeries have a low margin of error and can routinely perform procedures around the clock without being tired. Since they operate with such precision, they are less invasive than traditional procedures and reduce patients’ time in the hospital recovering.
Vital Stats Recovering
The condition of a person’s health is an ongoing process determined by different levels of their vital statistics. As wearable devices have become popular, the data is no longer on-demand, waiting to be analyzed to provide actionable insights. There are several life-saving applications for vital signs since they can predict health fluctuations even before the patient is aware.
E-Commerce
Product Recommendations
This is the first example that most people give if you ask them about the application of AI in business. The majority of e-commerce website owners have used Artificial Intelligence for making product recommendations that users are interested in, resulting in significant increases in sales.
Chatbots
Another excellent example of Artificial Intelligence is the use of chatbots on the website. These chatbots help a lot by serving customers at odd and peak times that visit the website, eliminating the need to use limited human resources.
Filtering Spam and Fake Reviews
Because of the large number of reviews that websites like Amazon receive, it is far more difficult for a human to scan and go through them and filter out malicious content. Artificial intelligence can check these reviews for suspicious activity and filter it out using NLP, resulting in a better buying experience.
Optimizing Search
The E-commerce world is highly dependent on the users looking for the things that they want. Hence, most website developers implement artificial intelligence to optimize search results based on thousands of parameters to ensure that users find exactly what they are looking for.
Supply-chain
Artificial Intelligence is also used for predicting demands for various products in various timeframes so that the companies can manage their inventories to meet the demand.
Human Resources
Building Work Culture
Artificial Intelligence is used for analyzing employee data and place them in the right teams, assign projects based on their skills, gather feedback regarding the workplace, and even predict if they are about to leave their company.
Hiring
Because of NLP, AI can go through thousands of CVs in a matter of seconds and determine whether there is a good fit or not. This is very beneficial for the company as it is free of human errors or biases, and it significantly shortens the hiring process.
Artificial Intelligence – The Future
Because of Artificial Intelligence’s vast advancements and capabilities, we can say that AI is the future as it will eventually replace human resources. AI-operated robots will do everything we do with our bare hands, and that too in a fraction of the time. We should be preparing for the AI and Robotic Revolution. But completely relying on robots and AI is not a good idea because there are still many things that need attention and careful handling that the bots simply cannot. But one should be preparing for the AI and Robotic Revolution and the future.