Technology has brought us to a modern age, where the fears produced by watching movies such as ‘The Terminator’ or reading fantastic book quotes about future, seems to have been catapulted way too soon into our present reality. Machine learning technologies have grown by leaps and bounds and have already been incorporated into many areas of our daily lives and in industry. However, many of those irrational fears regarding artificial intelligence can be delayed. One simply needs to understand the specifics of artificial intelligence and other machine learning devices.
Continue reading as we explore and provide you with our own machine learning tutorial.
Machine Learning Technologies
Today, we experience technology at a rapid pace. We have launched into a time where there is more complex intelligence in the palm of our hands than ever was in our homes twenty years ago. And now, machine learning technologies are incorporated right there in our homes, schools, hospitals, and businesses, helping us to complete our daily tasks more easily.
Oftentimes there is some ambiguity about the terms machine learning and artificial intelligence. Let’s explore the differences.
What is ML?
An existing application of artificial intelligence whereby machines are provided access to huge amounts of data which allows them to learn different functions is known as machine learning.
What does AI stand for?
Artificial intelligence, conversely, relates to the way in which machines learn or analyze complex data, through their own neural networks, so that they can complete simple or multifarious tasks in a manner that human beings deem to be intelligent.
With greater amounts of information provided for the machine learning processes, artificial intelligence should move from the more basic demonstrations that we see today, to an even more sophisticated level in the near future.
Machine Learning Implementation
Tesla and Google are already exploring the concept of self-driving vehicles. They are exploring safe ways in which a machine can transport humans, without direct manual interference. Based on these developments and studies, the US Government, through its Department of Transportation, has begun to categorize various levels of automation. Already in China, there are plans to implement public transportation that are self-driven. That means partial or even fully automated ML jobs will become more prominent in this industry, within the next decade.
However, at this moment, artificial intelligence is being used for more dangerous and exploratory endeavors like bomb detection and defusing. Many lives are being saved when robots, not humans, are used to handle such threats. Many of these drones have partial automation and require human manipulations; nonetheless, they serve a great purpose. Missions to distant planets have also benefited from this type of technology. That means astronauts can see a significant reduction in the amount of risk required to gather information or samples from planets like Mars or Pluto.
More machine learning jobs are seen in the manufacturing industry; robotic integration handles highly dangerous and stressful tasks such as welding. Usually, such assignments come with being immersed in toxic and high noise environments. Now human beings can work or monitor these tasks from a safe distance, while robotic machines, do the hands-on work.
Of course, there are many other areas that could be outsourced as ML jobs. These can include air traffic control, monitoring global shipping networks to law enforcement across the country. This sort of technology is moreover immensely beneficial to people who work in dangerous jobs like mining. If their processes are automated then machines can explore, excavate, and accumulate as well as transport material easily. This would eliminate the risk of humans being trapped underground, as we have seen in recent cases in South America.
One of the more friendly ideologies of using certain ML concepts is through Cyborg technology; specifically in limb replacement. Thirty years ago we were watching the ‘Six Million Dollar Man’ on television. He accomplished great feats such as incredible strength and speed. Now, we have a plethora of Marvel shows on television that incorporates this concept at an even greater level; case in point, ‘Iron Man’.
This concept is already giving back functionality to numerous men and women who have lost an arm or leg, tragically. Our bodies are limited in its capabilities due to its frailties; however, this is being bypassed as more human beings are enhanced with Cyborg technology. It has been discovered that even though a limb might be missing, the brain still retains the capability of manipulating any robotic attachment that has neural connections, like the missing body part. Therefore, further explorations in this area are being encouraged.
While we have provided several representations of how machine learning technologies can change our life soon, the list is definitely not exhaustive. As this area is being explored, the possibilities seem endless as to how artificial intelligence and machine learning devices can and will enhance our daily lives. While we are seeing several representations of it in various industries, the very definition is expected to change in the coming years as governments learn more and develop policies to safeguard the populace from the dangers of improper implementation of such technology.