SOFTWARE DEVELOPMENT, ARTIFICIAL INTELLIGENCE & MACHINE LEARNING!
THE EVER GROWING FIELD,
an essential tool for mankind
Our guest author Raj Chauhan elaborates how Computer Science, Artificial intelligence and Machine learning make a difference in even the most basic of daily necessities.
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| Raj Chauhan, Double masters student in Computer Science & Information Technology Management, an aspiring software developer with a vision for Artificial Intelligence & Machine Learning. |
Computer Science Engineering (CSE) encompasses a variety of topics that relates to computation, like analysis of algorithms, programming languages, program design, software, and computer hardware. Computer Science engineering has roots in electrical engineering, mathematics, and linguistics.
Technology is growing at a fast pace and now we have more power in our pockets than we had in our homes in the previous decades. Artificial intelligence (AI) has been one fascination of science fiction since long now. In the last few years, scientists have made tremendous progress in “machine learning” by the help of neural networks that encapsulate the real neurons & their processes.
This “deep learning” allows machines to analyse the information for themselves on a sophisticated level also allowing them with the performance of complex functions like facial recognition, finger print detection etc. We are likely to see more integration of AI technology in our everyday lives sooner than we think. While most of this technology is still at the basic level but we can soon expect much upgraded sophisticated AI that would make a more substantial difference to our lives. Here are 6 ways AI might affect us in the future.
1. Transportation with Automatic features
Self-driving cars are no more a new thing but relative changes are yet to come. Despite these exciting developments, the technology isn’t perfect yet, and it will take a while for public acceptance to bring automated cars into widespread use. Google began testing a self-driving car in 2012, and since then, the U.S. Department of Transportation has released definitions of different levels of automation, with Google’s car classified as the first level down from full automation. Other transportation methods are closer to full automation, such as buses and trains.
2. Cyborg
Researcher Shimon Whiteson thinks that in the future, we will be able to augment ourselves with computers and enhance many of our own natural abilities that we find need to be worked upon. Though many of these possible cyborg enhancements would be added for convenience, others might serve a more practical purpose. Yoky Matsuka of Nest believes that AI will become useful for people with amputated limbs, as the brain will be able to communicate with a robotic limb to give the patient more control. This kind of cyborg technology would significantly reduce the limitations that amputees deal with on a daily basis.
3. Dangerous jobs can be worked by AI technology
Robots are already taking over some of the most hazardous jobs available, including bomb defusing. These robots aren’t quite robots yet. According to the BBC they are technically drones which are being used as the physical counterpart for defusing bombs, but in turn requiring a human to control their activities. What so ever be the classification but they still have saved thousands of lives by taking over one of the most dangerous jobs in the world. As technology progresses we will likely see more AI integration to help these machines function and save humans from performing these dangerous jobs (which are many).
Other jobs are also being reconsidered for robot integration. Welding, well known for producing toxic substances, intense heat, and earsplitting noise, can now be outsourced to robots in most cases. Robot Worx explains that robotic welding cells are already in use, and have safety features in place to help prevent human workers from fumes and other bodily harm.
4. Climate change
Solving climate change might seem like a tall order from a robot, but as Stuart Russell explains, machines have more access to data than one person ever could—storing a mind-boggling number of statistics. Using big data, AI could one day identify trends and use that information to come up with solutions to the world’s biggest problems.
5. Robot as friends
So far most robots are still emotionless and it’s hard to picture a robot you could relate to. However, a company in Japan has made the first big steps toward a robot companion—one who can understand and feel emotions. Introduced in 2014, “Pepper” the companion robot went on sale in 2015, with all 1,000 initial units selling out within a minute. The robot was programmed to read human emotions, develop its own emotions, and help its human friends stay happy. Pepper was out for sale in 2016 & more versions are already in progress.
Robo human can be a future possibility.
6. Improved elder care
For many seniors, everyday life is a struggle, and many have to hire outside help to manage their care, or rely on family members. AI is at a stage where replacing this need isn’t too far off. Home robots could help seniors with everyday tasks and allow them to stay independent and in their homes for as long as possible, which improves their overall well-being.
Besides these six implications, there are even more ways that AI technology can influence & benefit our future, and this very fact has professionals across multiple industries extremely excited about the ever growing possibilities with Artificial Intelligence & Machine learning.
PROBLEM SOLVING : A significant tool required for the Computer Science placements & Software development procedures, during the research Raj Chauhan came up with the following :
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| A brief overview of research by Raj Chauhan over Problem Solving |
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