Artificial Intelligence:
The most important topics of the present and future are Artificial Intelligence (AI).
Artificial Intelligence refers to the intelligence exhibited by machines. Intelligence is the ability to acquire knowledge and apply it. Machine learning is the process by which machines acquire knowledge. When these two aspects are combined, it results in Artificial Intelligence or synthetic intelligence.
In movies or science fiction, we have seen robots becoming very powerful, capable of destroying humans. Some robots work for the benefit of humans. The brains of these robots are Artificial Intelligence. Artificial Intelligence is what distinguishes these robots from ordinary inanimate objects. It doesn’t mean that we need robots for Artificial Intelligence. Our smartphones, which we carry in our pockets, have many apps integrated with Artificial Intelligence.
(Artificial Intelligence, Machine Learning, and Robotics are rapidly evolving fields that have the potential to revolutionize various industries and aspects of our lives. These topics encompass a wide range of applications and research areas, including natural language processing, computer vision, autonomous systems, deep learning, and more. The development of AI technologies has the potential to bring about significant advancements and transformations in areas such as healthcare, transportation, finance, manufacturing, and entertainment. However, it also raises ethical and societal considerations that need to be addressed to ensure responsible and beneficial use of these technologies.
Steps of Artificial Intelligence:
Artificial Intelligence programs can be divided into three stages:
ANI or Artificial Narrow Intelligence or Weak AI: ANI programs excel at a specific task and become experts in that particular domain. For example, a program designed to play chess will perform exceptionally well in chess but won’t be able to do anything else. If you ask it to play a game of Ludo, it won’t be able to. Just like how young children can excel at challenging tasks given to them, the program will adapt and perform accordingly.
AGI or Artificial General Intelligence: AGI is the second stage of artificial intelligence, also known as Strong AI or Human-Level AI. In this stage, computers will be able to think like humans, plan like humans, solve problems like humans, and adapt to new environments just as humans do.
ASI or Artificial Super Intelligence: ASI is the third stage of artificial intelligence. When computers become more intelligent than humans, we call it Artificial Super Intelligence. Researchers are already concerned about what will happen when an artificial superintelligence system is created. Will it be beneficial or detrimental to humans? These questions are already being pondered by scientists.
Once Artificial Super Intelligence is achieved, it’s uncertain what our existence will be like. Scientists are deeply concerned about what our future will look like if we reach that stage. Everything will undergo tremendous change once we achieve Artificial Super Intelligence. We will be able to harness all the power available on Earth and possibly explore other planets easily. We might even have the ability to manipulate the universe itself.
What stage are we at?
We are still in the phase of Artificial Narrow Intelligence. All the programs we see or use are ANI programs. Google Search Engine, Self-Driving Cars, Flight Control, Nuclear Project Control, and other complex systems, all of them are ANI programs. They are skilled at specific tasks but are unable to perform tasks outside their designated domains.
Our achievements:
In 1997, IBM’s Deep Blue computer program defeated the Grandmaster in a chess match, marking a significant achievement in the field of Artificial Intelligence. It was an intelligent program, representing a major milestone in the development of Artificial Intelligence.
In March of this year, the AlphaGo program defeated the world champion in the game of Go. This achievement was also a significant milestone, as Go is a highly complex game with a vast number of possible moves. For every position in the game, there are approximately 25 possible moves, compared to around 200 moves in chess. Choosing the right move is not as straightforward for a computer as it is for a human. Additionally, Go is a game that requires strategic thinking and intuition, which the computer had to develop. It had to think like a human thinks.
These advancements showcase the progress made in the field of Artificial Intelligence, where computers are able to compete and win against human experts in complex intellectual games, requiring logic and strategic thinking.
IBM Watson:
In addition to that, in 2011, IBM’s Watson computer program defeated two champions on the famous American quiz show Jeopardy.
IBM Watson is considered the most successful intelligent program developed so far. It was initially designed to answer questions and surpassed the two human champions of Jeopardy. Since then, IBM Watson has been used in various fields. It can be utilized for data analysis, education, healthcare, and more. It assists doctors in making decisions in cancer treatment and serves as the basis for nearly 90% of the decisions made by oncology nurses in lung cancer cases. The more IBM Watson is utilized, the more advanced the system becomes.
Using the Watson API, anyone can develop intelligent software, although it is not available for free.
Personal Assistant:
Although personal assistant science fiction stories might come to mind, nowadays a lot can indeed be done with personal assistants. You can ask them anything, and they will provide answers. Products like Amazon Echo or Google Home allow you to communicate with computers simply by speaking to them. It’s similar to what you see in science fiction movies. What used to be fictional stories is now a reality.
Humanoid Robots:
The robots we see in movies that resemble humans are called humanoid robots. Currently, the most advanced humanoid robot is Honda’s ASIMO. Additionally, Boston Dynamics is working on military-grade robots that are exceptionally strong. However, the most accessible humanoid robot for everyone is NAO. It is programmable, and you can purchase it and modify it to your liking. By setting up programs similar to IBM Watson, it can perform tasks like Google Home or Amazon Echo.
Self-Assemble Robot:
The most intriguing robot is undoubtedly the self-assembling robot. If you have watched the movie “Big Hero 6,” you might recall the depiction of microbots, tiny robots that can form any shape when combined. A few days ago, if you watched a movie featuring such robots, now you can see that they exist in reality and are being used for various purposes. The Self Assembly Lab at MIT is working on this kind of robot and has successfully created incredible microbots.
When nanotechnology advances further, these self-assembling robots can play a significant role in combating diseases within the human body. Imagine microbots being able to enter the bloodstream and destroy viruses or even eradicate diseases like cancer. No disease would stand a chance against these remarkable Microbots.
Industrial Robot:
Robots don’t have to resemble humans. They can take any form depending on their intended purpose. In industries, robots are extensively used to perform a wide range of tasks. From manufacturing cars to creating mobile chips or processors, robots are employed in various tasks across industries.
The design and functionality of robots are tailored to meet specific requirements. They can be equipped with specialized tools, sensors, and programming to perform tasks with precision and efficiency. Whether it’s assembling components, welding, painting, or handling delicate materials, robots excel in automation and streamlining processes in industries.
The versatility of robots allows them to adapt to different environments and perform tasks that may be too dangerous or repetitive for humans. With advancements in robotics technology, we can expect robots to continue playing a crucial role in various industries, revolutionizing production processes and increasing productivity.
Machine Learning:
We have been solving many problems using Artificial Narrow Intelligence (ANI) alone. It has made our lives much easier. When creating these ANI programs, we don’t explicitly tell them what to do. Instead, we provide them with examples. Based on those examples, the program develops an algorithm. Then, when given similar tasks in the future, it performs them autonomously. This is known as machine learning.
Almost all the programs or robots that I mentioned earlier utilize machine learning. In the coming years, almost every software or app that emerges will incorporate machine learning. The rapid advancement of machine learning technology has the potential to revolutionize various industries and enhance our everyday experiences.
Prisma:
We have seen many people using the Prisma app. Even if you haven’t used it, you might have seen pictures transformed into beautiful artistic images using Prisma. This app is powered by deep neural networks, which is a technique in machine learning. Now, to achieve remarkable results, we need to apply machine learning in various domains.
Machine Learning Job Market:
You share the Skill Index every four months, and currently, the fastest-growing skill is machine learning! Not only in the future, but even at present, there is a high demand for machine learning.