Modern machine learning powers a great many applications such as social network filtering, self-driven vehicles, finding terrorist suspects, medical diagnosis, computer vision, and playing video and board games. Generally, it's regarded as a type of Artificial-Intelligence or Al. In other words, it is a subset of AI where computer programs are used to learn new things independently using the available data and information.
The main idea behind this type of AI relies on mathematics, statistics, computer science and the enormous scientific work such as the development of the Least Square method (1808), Bayes Theorem (1812), and Markov Chains (1913) that was contributed by the great scientists who lived many of years ago.
Machines that operate using this kind of technology are autonomous and require no human intelligence. In 2015, more than three thousand researchers from the Al and Robotics department led by Elon Musk, Stephen Hawking, and Steve Wozniak signed a letter warning about the risks of using autonomous weapons which work with freedom and independently without human involvement.
This account focuses on the invention of artificial super-intelligent humans with the help of machine learning, and the dangers it poses on the existence of human beings, creating a negative impact on the human era
Originally, in the 1940s, when the ENIAC, the world's first electronic general-purpose computer system was being invented, the term the computer' was used to refer to a person with intensive capabilities to do numerical computations. The ENIAC, therefore, was identified as a numerical computing device and the media, in 1946 when the machine was being announced referred to it as a °Giant Brain'.
No one knew exactly whether the device was a learning machine. But from the very beginning, the main idea was to create a powerful machine that could surpass learning and human thinking. Around the 1950s, the first gaming program that was believed to win against the checkers' world champion emerged.
The program was used in a great deal by checkers-players to better their skills. Later, with great support from the Office of Naval Research, a United States international Navy and Marine research department, Frank Rosenblatt invented an algorithm referred to as the Perceptron that became a powerful monster when it was combined in a network with large numbers. Several years later, we saw the Department of the neural networks becoming stagnant due to limited abilities to find answers to some problems.
In the 1990s, machine learning became popular although not as much as today. The combination of statistics and computer science led to the development of Artificial Intelligence which further shifted toward the so-called data-driven applications. Scientists used plenty amounts of data available to create intelligent systems that could inspect, analyze, and learn using large-scale data Today, the concept of artificial intelligence is viewed as the last invention and end of the human era.
Artificial Intelligence Masters Programs MS degree programs in AI provide postgraduate students with a great deal of knowledge of the design, theory, development, and application of socially, linguistically, and biologically motivated computer systems. Research-oriented programs such as MPhil and MRes are also available although not in every institution. This degree, depending on the program, may include a specialization in topics such as cognitive robotics, machine learning, multi-agent systems, and autonomous system design. To pursue this career, learners should have an undergraduate degree in a related field such as Robotics and Computer Science.
This degree is designed to train busy professionals anywhere in the world to study at their own pace. The program is non-thesis and provides a thorough preparation of the techniques and concepts related to programming, design and computer systems applications.
Learners are equipped with in-depth knowledge and understanding of the essentials and current matters in computer science and engineering. It includes about thirty courses depending on the institution on topics such as robotics, AI, machine learning, and computational perception. The program requires a student to choose one of the various areas of study such as Software analysis and design, Bioinformatics, Information Technology, Computer programming, and etcetera.
After completing a B-Tech degree, you can advance your career by applying for an M-Tech degree program which takes exactly two years. Through distance learning, you can attend lectures at your own time. Additionally, you can access various programs through video chat, voice chat, and conferences which are considered a part of the course.
It equips learners with a lot of research in the respective fields (Machine Learning, Computer Science and Engineering, and Mechanical and Electronic Engineering) and also an in-depth knowledge and training required to work in various research and development centers, power and mining generation companies, and consultation firms.
India has the most popular universities such as Amity, Annamalai, and Indira-Gandhi Open Universities known to provide an M Tech Distance Learning degree. To pursue this career, you must have obtained an undergraduate Tech degree with the minimum qualifications required by the university council. Additionally, you must have a Certificate of Migration to be eligible for the distance learning degree in India.
Today, the development of AI has crossed borders due to the invention of many systems that nearly imitate the behavior of an intelligent human being. Machines, things that are known to possess no life, having capacity perform assignments that require human judgment such as decision-making, speech recognition, translation between languages, visual perception, and etcetera is posing a great threat to our existence. In his book, Our Final Invention:
Artificial-Intelligence and the End of the Human Era, author James Barrat cautions strongly the risks that artificial super-intelligent human beings pose to the existence of people. He further stresses how difficult it could be to predict or control a thing that is more intelligent than its own creator. Moreover, all the incredible threats and difficulties human face today including climate change, nanotechnology, nuclear weapons, biotechnology, and a lot more, are brought about by one thing: Artificial Intelligence.
That's why Barratt states, in a plain and very clear language to completely go against Al. Our intelligence could be the only attribute that separates us from the aliens and other animal species out there. Humans were not the strongest animals in the world, but with their smart brains, they were able to emerge on top of all the beasts in the jungle. Sadly, our existence is put in jeopardy by things that we have created with our own hands.
Scientists could be creating an Al that has the greatest intelligence than any other creature on earth that could become very powerful to do all our daily tasks or even fail us and kill us all depending on how they are programmed.
Although the current era is more focused on the development of machine learning and artificial super-intelligent human beings, professionals think that the world is heading in the wrong direction. This is due to the fact that computer automated machines, no matter how intelligent they are, will never "think or understand" as the normal human brain.
Additionally, comparing computer networks and the way they analyze things with their powerful algorithms to the conspiracies of the human brain is very similar to comparing oranges and apples.
To sum up, based on research and several reports published on various journals, it's very clear that the invention and development of machine learning in robotics and Al applications can become a great threat in the way of life of humans. This’s considered very possible when a machine is programmed to perform important duties, but instead develops a devastating technique for attaining their own goal. Moreover, when robots and other machines are programmed to perform destructive duties such as killing, getting into the hands of criminals and other dishonest people could lead to enormous casualties all over the world. This is the reason why the invention of machine learning becoming threats to humans in the future.