The robots can learn how to execute jobs and accomplish jobs better or faster. The two writings show the benefits and the dangers of technology. The technology will help everybody and let them work less. In the future, people can expect their jobs to be stolen away from them. Robots now can perform the same jobs faster.
Technology is already starting to take over human tasks. Instead of pushing a vacuum around, there are now robots that do it for us. Scientists and chemists are finding even more dangerous weapons that could kill a nation in a blink. If a country decides to use these weapons, then a nation could be destroyed. Technology is a good thing, we are just using it in the wrong manner.
Robots have solved many problems before, and they can solve many more. They have the potential to solve and help solve many problems on Earth. Robots also have the ability to solve and contribute to solving many problems in space. When programmed correctly and given proper equipment robots can do many useful and helpful things. Robots have many different subsystems that are called different names and do different things.
At the same time, robots can help families with their home chores such as when using it for vacuuming carpets. Moreover, robotics is one of the main reasons for the advancements of wireless connectivity, computational horsepower, artificial intelligence, sensors and power efficiency (Dyer, 2014, para. 5). In fact, without all of these advancements, our lives would be a lot harder than now. For example, imagine that there is no wireless connectivity where you live; you would need to consume a lot of time or maybe a couple of hours to send a simple message, while nowadays you can do that with a press of a button.
I think we should ensure that robots remain as no more than ‘idiot savants’ – lacking the capacity to outwit us, even though they may greatly surpass us in the ability to calculate and process information. “ (Martin, 2013). We are getting used to some devices like phone, computer, and some displacement object such as cars, planes so on. Those elements affect our mental in the manner where we cannot do anything in their absences. For example, an engineer without a computer cannot do well same for the banks.
Rodney Brooks, professor in robotics, claims in the article Artificial intelligence is a tool, not a threat, November 10, 2014 in Rethink robotics that recent advances of technology let us teach machines simple things such as to know whether an image is that of a cat or a dog or that it is about to fail if its temperature increases. However, Brooks also states that this is only a small part of being intelligent and that these recent advances in AI and machine learning show that the development is still in its initial stage. Another statement from Leblanc (2015) is that the next generation of AI is going to be more adaptive, self learning and intuitive. Nevertheless, superintelligent machines are not as futuristic as they may seem. This is confirmed by Tom Risen in the article Artificial Intelligence: Do the Benefits Outweigh the Risks?
In fact, scientists see it as the solution to education such that it could teach less fortunate children which has no contact with technology. Such use of robot teacher also gives people the advantage of cheaper education such that robot teachers do not get paid. Thus, the implementation and/or use of robot teachers might lower the price for education. Moreover, since robot teachers are programmed to do their job, they will not make mistakes. In fact, they would give the students accurate, direct to the point, and clear lessons or examples.
ISSN: 17444292 3. Foundations and Trends in Computer Graphics and Vision Publisher: Now Publishers Inc. Publication type: Journals. ISSN: 15722759, 15722740 4. IEEE Transactions on Pattern Analysis and Machine Intelligence Publisher: IEEE Computer Society.
Retrieved from https://itif.org/publications/2017/09/19/artificial-intelligence-robotics-and-future-work-myths-and-facts Atkinson. R. & Wu. J. (May 8, 2017). False Alarmism: Technological Disruption and the U.S. Labor Market, 1850–2015.
I am eager to contribute, in any which way possible, to a subject that has given me so much of joy. Since my interest lies in Artificial Intelligence (AI), by using machine learning I’m presently researching on Sparse Distribution Patterns and its applications in Optical Character Recognition with an esteemed professor, Ms. Deepali Choudhari, which I then intend to publish. Artificial Intelligence has always griped my mind such that, by incorporating into machines, it has given me a panoramic view of the understanding of the human mind in