It is a dream for many computer scientists to live in a world where all the greatest discoveries of the past are made by using machine learning and deep learning. It sounds almost too good to be true, but these super-intelligent machines can actually perform much better than we human beings. In fact, some people believe that we may soon have machines that will be smarter than us, and able to solve all of our problems. However, the reality is somewhat different. In order to achieve such success, all three components of the learning process have to be perfect, which makes it very difficult to achieve in today’s world.
Not only is it difficult to build machines that are smarter than humans, but building them at the same time is also hard. Humans are highly creative species, and it takes a fairly long period of time to build something useful, such as an automobile. It takes even longer to come up with something useful for the machine. This is why even the best artificial intelligence will not likely ever be a fully operational computer. Humans are also very lazy species, meaning that it will be nearly impossible to build a machine that is as intelligent as us.
- Predictive Analysis
- Dynamic Learning
- Supercomputers
- Intelligent Machines
- Creative & Critical Thinking
Predictive Analysis:
Deep learning involves the development of a machine that can pre-empt what is coming next and thus could potentially increase the effectiveness of any machine learning task. It may be possible to teach a machine to predict a football match outcome, or to understand when the next truck load of cement will be arriving at the construction site. However, this is not merely a matter of programming a machine to make those decisions. Humans will need to participate as well in order to ensure that the machine’s reasoning and accuracy are correct.
Dynamic Learning:
One other advantage is that human involvement will allow for a more dynamic design. In the future, it is possible that machines will be able to reason and learn on their own. They may not only be able to handle simple data requests, but may also be able to make educated guesses about upcoming events. Humans will be much less static in the years to come. Machines will also have access to large amounts of data at once, meaning that they will have a better understanding than ever before of how the world around them operates.
Invention of Supercomputers:
The creation of artificially intelligent supercomputers is another one of the many advantages of machine learning and deep learning in the future. Once these machines are developed, there will be no need for a human being to oversee their development. As long as they function correctly, a machine can be taught to carry out all of a person’s mundane duties.
Invention of Self-sufficient Machines:
The potential for completely self-sufficient machines is also one of the biggest attractions to the development of such systems. Humans may eventually become obsolete as computer machines continue to take over more of their everyday life. Machines will be able to think, reason and learn independently, increasing their overall level of productivity. They will also have the ability to deal with all aspects of their lives, from decision making to financial transactions.
Creative & Critical Thinking:
Humans will also be forced to become more creative, leading to even more development of machine learning and deep learning technologies. Computers will be able to beat their creators at games like chess, making them more intelligent and competitive. They will also be able to compose songs and write their own books. The possibilities are endless. A machine may also be able to beat the best humans at chess in a match. This could dramatically improve the way that humanity learns to communicate and interact with each other.
Conclusion:
The advantages of machine learning and deep learning in the future will hopefully prove to be a successful and beneficial venture for mankind. Artificial intelligence will enable machines to do what humans were previously unable to do, which is build, reason and interact with humans in various social settings. It will be interesting to watch the progress of this technology over the next few decades, as it continues to push the boundaries of our society and economy. It is almost inevitable that artificial intelligence will replace most of the workforce by 2021.
